<?xml version="1.0" encoding="ISO-8859-1"?>
<?xml-stylesheet type="text/xsl" href="corpus.xsl"?>

<CORPUS>
<DOC ID="1">
<TITLE>2-Source Dispersers for Sub-Polynomial Entropy and Ramsey Graphs Beating the Frankl-Wilson Construction</TITLE>
<LINKS>
<LINK name="PDF" url="1/1.pdf"></LINK>
<LINK name="TXT" url="1/1.txt"></LINK>
<LINK name="HTML" url="1/1.html"></LINK>
<LINK name="XML" url="1/1.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>G.2.2 [Mathematics of Computing]: Discrete Mathematics - Graph algorithms</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Theory</ITEM>
<ITEM>Algorithms</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Dispersers</ITEM>
<ITEM>Ramsey Graphs</ITEM>
<ITEM>Independent Sources</ITEM>
<ITEM>Extractors</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>disperser</ITEM>
<ITEM>entropy</ITEM>
<ITEM>independent sources</ITEM>
<ITEM>extractor</ITEM>
<ITEM>randomness extraction</ITEM>
<ITEM>Ramsey graphs</ITEM>
<ITEM>bipartite graph</ITEM>
<ITEM>distribution</ITEM>
<ITEM>polynomial time computable disperser</ITEM>
<ITEM>subsource</ITEM>
<ITEM>subsource somewhere extractor</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="1">
<ITEM>Ramsey graphs</ITEM>
<ITEM>extractors</ITEM>
<ITEM>disperser</ITEM>
<ITEM>construction of disperser</ITEM>
<ITEM>structure</ITEM>
<ITEM>tools</ITEM>
<ITEM>independent source</ITEM>
<ITEM>subsource</ITEM>
<ITEM>entropy</ITEM>
<ITEM>Theorem</ITEM>
<ITEM>resiliency</ITEM>
<ITEM>deficiency</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="4">
<ITEM>explicit disperser</ITEM>
<ITEM>extractors</ITEM>
<ITEM>algorithms</ITEM>
<ITEM>Ramsey graph</ITEM>
<ITEM>sum-product theorem</ITEM>
<ITEM>block-sources</ITEM>
<ITEM>entropy</ITEM>
<ITEM>recursion</ITEM>
<ITEM>termination</ITEM>
<ITEM>resiliency</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="10">
<TITLE>A Frequency-based and a Poisson-based Definition of the Probability of Being Informative</TITLE>
<LINKS>
<LINK name="PDF" url="10/10.pdf"></LINK>
<LINK name="TXT" url="10/10.txt"></LINK>
<LINK name="HTML" url="10/10.html"></LINK>
<LINK name="XML" url="10/10.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.3 [Information Search and Retrieval]: Retrieval models</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Theory</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Probabilistic information retrieval</ITEM>
<ITEM>inverse document frequency (idf)</ITEM>
<ITEM>Poisson distribution</ITEM>
<ITEM>information theory</ITEM>
<ITEM>independence assumption</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>Inverse document frequency</ITEM>
<ITEM>Term frequency</ITEM>
<ITEM>Probability of being informative</ITEM>
<ITEM>Assumptions</ITEM>
<ITEM>Normalisation</ITEM>
<ITEM>Frequency-based probability</ITEM>
<ITEM>Disjoint documents</ITEM>
<ITEM>Independent documents</ITEM>
<ITEM>Document frequency</ITEM>
<ITEM>Noise probability</ITEM>
<ITEM>Poisson based probability</ITEM>
<ITEM>Poisson distribution</ITEM>
<ITEM>Information theory</ITEM>
<ITEM>Collection space</ITEM>
<ITEM>Document space</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="39">
<ITEM>computer science</ITEM>
<ITEM>document retrieval</ITEM>
<ITEM>information search</ITEM>
<ITEM>inverse document frequency</ITEM>
<ITEM>Poisson-based probability of being informative</ITEM>
<ITEM>probabilistic retrieval models</ITEM>
<ITEM>relevance-based ranking of retrieved objects</ITEM>
<ITEM>frequency-based term noise probability</ITEM>
<ITEM>independent and disjoint documents</ITEM>
<ITEM>maximal informative signal</ITEM>
<ITEM>entropy</ITEM>
<ITEM>information theory</ITEM>
<ITEM>probability theories</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="100">
<TITLE>High Performance Crawling System</TITLE>
<LINKS>
<LINK name="PDF" url="100/100.pdf"></LINK>
<LINK name="TXT" url="100/100.txt"></LINK>
<LINK name="HTML" url="100/100.html"></LINK>
<LINK name="XML" url="100/100.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>D.1.3 [Concurrent Programming]: Distributed programming</ITEM>
<ITEM>C.4 [Performance of Systems]: Fault tolerance</ITEM>
<ITEM>H.3.7 [Digital Libraries]: Systems issues</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<AUTHOR_KEYWORDS>
<ITEM>Web Crawler</ITEM>
<ITEM>Hierarchical Cooperation</ITEM>
<ITEM>High Availability System</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="77">
<ITEM>Breadth first crawling</ITEM>
<ITEM>repetitive crawling</ITEM>
<ITEM>targeted crawling</ITEM>
<ITEM>deep web crawling</ITEM>
<ITEM>Random walks and sampling</ITEM>
<ITEM>Deep web crawling</ITEM>
<ITEM>Erlang development kit</ITEM>
<ITEM>Dominos Generic server</ITEM>
<ITEM>Dominos RPC concurrent</ITEM>
<ITEM>Dominos distributed database</ITEM>
<ITEM>Dominos nodes</ITEM>
<ITEM>Document fingerprint</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="78">
<ITEM>real-time distributed system</ITEM>
<ITEM>crawling system</ITEM>
<ITEM>high performance crawling system</ITEM>
<ITEM>breadth-first crawling</ITEM>
<ITEM>dominos process</ITEM>
<ITEM>URL caching</ITEM>
<ITEM>limiting disk access</ITEM>
<ITEM>high availability</ITEM>
<ITEM>fault tolerance</ITEM>
<ITEM>maintaiability and configurability</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="101">
<TITLE>Hiperlan/2 Public Access Interworking with 3G Cellular Systems</TITLE>
<LINKS>
<LINK name="PDF" url="101/101.pdf"></LINK>
<LINK name="TXT" url="101/101.txt"></LINK>
<LINK name="HTML" url="101/101.html"></LINK>
<LINK name="XML" url="101/101.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>ETSI</ITEM>
<ITEM>BRAN</ITEM>
<ITEM>Hiperlan/2</ITEM>
<ITEM>3G</ITEM>
<ITEM>interworking</ITEM>
<ITEM>public access</ITEM>
<ITEM>WIG</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="102">
<TITLE>2D Information Displays</TITLE>
<LINKS>
<LINK name="PDF" url="102/102.pdf"></LINK>
<LINK name="TXT" url="102/102.txt"></LINK>
<LINK name="HTML" url="102/102.html"></LINK>
<LINK name="XML" url="102/102.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.5.2 [Information Interface and Presentation]: User Interfaces—Screen design</ITEM>
<ITEM>I.2.4 [Artificial Intelligence]: Knowledge Representation Formalisms and Methods—Semantic networks</ITEM>
<ITEM>I.3.6 [Computer Graphics]: Methodology and Techniques—Interaction techniques</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Design</ITEM>
<ITEM>Human Factors</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Information visualization</ITEM>
<ITEM>Spreading activation</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="103">
<TITLE>Impedance Coupling in Content-targeted Advertising</TITLE>
<LINKS>
<LINK name="PDF" url="103/103.pdf"></LINK>
<LINK name="TXT" url="103/103.txt"></LINK>
<LINK name="HTML" url="103/103.html"></LINK>
<LINK name="XML" url="103/103.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval</ITEM>
<ITEM>I.5.3 [Pattern Recognition]: Applications—Text processing</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Advertising</ITEM>
<ITEM>Web</ITEM>
<ITEM>Bayesian networks</ITEM>
<ITEM>kNN</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>matching </ITEM>
<ITEM>impedance coupling</ITEM>
<ITEM>advertisements</ITEM>
<ITEM>content-targeted advertising</ITEM>
<ITEM>triggering page</ITEM>
<ITEM></ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="104">
<TITLE>Implementing the IT Fundamentals Knowledge Area</TITLE>
<LINKS>
<LINK name="PDF" url="104/104.pdf"></LINK>
<LINK name="TXT" url="104/104.txt"></LINK>
<LINK name="HTML" url="104/104.html"></LINK>
<LINK name="XML" url="104/104.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>K.3.3 [Computer and Information Science Education]: Curriculum</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Human Factors</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>IT Model Curriculum</ITEM>
<ITEM>IT Fundamentals Knowledge Area</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="105">
<TITLE>Implicit User Modeling for Personalized Search</TITLE>
<LINKS>
<LINK name="PDF" url="105/105.pdf"></LINK>
<LINK name="TXT" url="105/105.txt"></LINK>
<LINK name="HTML" url="105/105.html"></LINK>
<LINK name="XML" url="105/105.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.3 [Information Search and Retrieval]: Retrieval models, Relevance feedback, Search Process</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>implicit feedback</ITEM>
<ITEM>personalized search</ITEM>
<ITEM>user model</ITEM>
<ITEM>interactive retrieval</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>user modelling</ITEM>
<ITEM>information retrieval systems</ITEM>
<ITEM>personalized search</ITEM>
<ITEM>implicit feedback</ITEM>
<ITEM>UCAIR</ITEM>
<ITEM>retrieval accuracy</ITEM>
<ITEM>clickthrough information</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="106">
<TITLE>Improvements of TLAESA Nearest Neighbour Search Algorithm and Extension to Approximation Search</TITLE>
<LINKS>
<LINK name="PDF" url="106/106.pdf"></LINK>
<LINK name="TXT" url="106/106.txt"></LINK>
<LINK name="HTML" url="106/106.html"></LINK>
<LINK name="XML" url="106/106.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Nearest Neighbour Search</ITEM>
<ITEM>k Nearest Neighbour Search</ITEM>
<ITEM>TLAESA</ITEM>
<ITEM>Approximation Search</ITEM>
<ITEM>Distance Computaion</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="107">
<TITLE>Improving the Static Analysis of Embedded Languages via Partial Evaluation</TITLE>
<LINKS>
<LINK name="PDF" url="107/107.pdf"></LINK>
<LINK name="TXT" url="107/107.txt"></LINK>
<LINK name="HTML" url="107/107.html"></LINK>
<LINK name="XML" url="107/107.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>D.2.5 [Software Engineering]: Testing and Debugging—debugging aids</ITEM>
<ITEM>D.3.3 [Programming Languages]: Language Constructs and Features—macros</ITEM>
<ITEM>D.3.4 [Programming Languages]: Processors—code generation, debuggers, interpreters</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Reliability</ITEM>
<ITEM>Languages</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Partial evaluation</ITEM>
<ITEM>macros</ITEM>
<ITEM>embedded languages</ITEM>
<ITEM>value flow analysis</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>embedded language</ITEM>
<ITEM>regular expression</ITEM>
<ITEM>macros</ITEM>
<ITEM>partial evaluation</ITEM>
<ITEM>set-based analysis</ITEM>
<ITEM>interpreter</ITEM>
<ITEM>Scheme</ITEM>
<ITEM>flow analysis</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="108">
<TITLE>IncSpan: Incremental Mining of Sequential Patterns in Large Database</TITLE>
<LINKS>
<LINK name="PDF" url="108/108.pdf"></LINK>
<LINK name="TXT" url="108/108.txt"></LINK>
<LINK name="HTML" url="108/108.html"></LINK>
<LINK name="XML" url="108/108.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.2.8 [Database Management]: Database Applications - data mining</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Performance</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>incremental mining</ITEM>
<ITEM>buffering pattern</ITEM>
<ITEM>reverse pattern matching</ITEM>
<ITEM>shared projection</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>incremental mining</ITEM>
<ITEM>sequential pattern</ITEM>
<ITEM>reverse pattern matching</ITEM>
<ITEM>shared projection</ITEM>
<ITEM>frequent itemsets</ITEM>
<ITEM>sequence database</ITEM>
<ITEM>database updates</ITEM>
<ITEM>optimization</ITEM>
<ITEM>buffering patterns</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="109">
<TITLE>Index Structures and Algorithms for Querying Distributed RDF Repositories</TITLE>
<LINKS>
<LINK name="PDF" url="109/109.pdf"></LINK>
<LINK name="TXT" url="109/109.txt"></LINK>
<LINK name="HTML" url="109/109.html"></LINK>
<LINK name="XML" url="109/109.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>E.1 [Data]: DATA STRUCTURES—Distributed Data Structures</ITEM>
<ITEM>H.2.4 [Information Systems ]: DATABASEMANAGEMENT SYSTEMS - Distributed Databases, Query Processing</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Performance</ITEM>
<ITEM>Design</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>RDF Querying</ITEM>
<ITEM>Index Structures</ITEM>
<ITEM>Optimization</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>semantic web</ITEM>
<ITEM>infrastructure</ITEM>
<ITEM>RDF</ITEM>
<ITEM>distributed architecture</ITEM>
<ITEM>index structure</ITEM>
<ITEM>query optimization</ITEM>
<ITEM>repositories</ITEM>
<ITEM>external sources</ITEM>
<ITEM>join ordering problem</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="11">
<TITLE>A Functional Correspondence between Evaluators and Abstract Machines</TITLE>
<LINKS>
<LINK name="PDF" url="11/11.pdf"></LINK>
<LINK name="TXT" url="11/11.txt"></LINK>
<LINK name="HTML" url="11/11.html"></LINK>
<LINK name="XML" url="11/11.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>D.1.1 [Software]: Programming Techniques—applicative (functional) programming</ITEM>
<ITEM>D.3.4 [Programming Languages]: Processors - interpreters</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Design</ITEM>
<ITEM>Languages</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Interpreters</ITEM>
<ITEM>abstract machines</ITEM>
<ITEM>closure conversion</ITEM>
<ITEM>transformation into continuation-passing style (CPS)</ITEM>
<ITEM>defunctionalization</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>evaluator</ITEM>
<ITEM>abstract machine</ITEM>
<ITEM>call-by-value</ITEM>
<ITEM>call-by-name</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="110">
<TITLE>Indexing Multi-Dimensional Time-Series with Support for Multiple Distance Measures</TITLE>
<LINKS>
<LINK name="PDF" url="110/110.pdf"></LINK>
<LINK name="TXT" url="110/110.txt"></LINK>
<LINK name="HTML" url="110/110.html"></LINK>
<LINK name="XML" url="110/110.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.2.8 [Database Management]: Database Applications, Data Mining</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<AUTHOR_KEYWORDS>
<ITEM>Trajectories</ITEM>
<ITEM>Longest Common Subsequence</ITEM>
<ITEM>Dynamic Time Warping</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>distance function</ITEM>
<ITEM>indexing</ITEM>
<ITEM>trajectory</ITEM>
<ITEM>similarity</ITEM>
<ITEM>Longest Common Subsequence (LCSS)</ITEM>
<ITEM>Dynamic Time Warping (DTW)</ITEM>
<ITEM>measure</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="111">
<TITLE>Information Retrieval for Language Tutoring: An Overview of the REAP Project</TITLE>
<LINKS>
<LINK name="PDF" url="111/111.pdf"></LINK>
<LINK name="TXT" url="111/111.txt"></LINK>
<LINK name="HTML" url="111/111.html"></LINK>
<LINK name="XML" url="111/111.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.3 [Information Search and Retrieval]: Retrieval models</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Design</ITEM>
<ITEM>Human Factors</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Information retrieval</ITEM>
<ITEM>computer-assisted learning</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>information retrieval</ITEM>
<ITEM>searching</ITEM>
<ITEM>user model</ITEM>
<ITEM>reading comprehension</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="112">
<TITLE>Categorizing Web Queries According to Geographical Locality</TITLE>
<LINKS>
<LINK name="PDF" url="112/112.pdf"></LINK>
<LINK name="TXT" url="112/112.txt"></LINK>
<LINK name="HTML" url="112/112.html"></LINK>
<LINK name="XML" url="112/112.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3 [Information Storage and Retrieval]: Information Search and Retrieval—query formulation, search process</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Experimentation</ITEM>
<ITEM>Human Factors</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>web search</ITEM>
<ITEM>information retrieval</ITEM>
<ITEM>search engines</ITEM>
<ITEM>query classification</ITEM>
<ITEM>query modification</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>web queries</ITEM>
<ITEM>geographical locality</ITEM>
<ITEM>global page</ITEM>
<ITEM>local page</ITEM>
<ITEM>query categorization / query classification</ITEM>
<ITEM>search engine</ITEM>
<ITEM>categorization scheme</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="113">
<TITLE>Information Revelation and Privacy in Online Social Networks</TITLE>
<LINKS>
<LINK name="PDF" url="113/113.pdf"></LINK>
<LINK name="TXT" url="113/113.txt"></LINK>
<LINK name="HTML" url="113/113.html"></LINK>
<LINK name="XML" url="113/113.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>K.4.1 [Computer and Society]: Public Policy Issues - Privacy</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Human Factors</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Online privacy</ITEM>
<ITEM>information revelation</ITEM>
<ITEM>social networking sites</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="47">
<ITEM>privacy</ITEM>
<ITEM>information relevation</ITEM>
<ITEM>online behavior</ITEM>
<ITEM>college</ITEM>
<ITEM>privacy risk</ITEM>
<ITEM>online social networking</ITEM>
<ITEM>social network theory</ITEM>
<ITEM>data visibility</ITEM>
<ITEM>privacy perference</ITEM>
<ITEM>stalking</ITEM>
<ITEM>re-identification</ITEM>
<ITEM>facebook</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="114">
<TITLE>Integrating the Document Object Model with Hyperlinks for Enhanced Topic Distillation and Information Extraction</TITLE>
<LINKS>
<LINK name="PDF" url="114/114.pdf"></LINK>
<LINK name="TXT" url="114/114.txt"></LINK>
<LINK name="HTML" url="114/114.html"></LINK>
<LINK name="XML" url="114/114.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Topic distillation</ITEM>
<ITEM>Document Object Model</ITEM>
<ITEM>segmentation</ITEM>
<ITEM>Minimum Description Length principle</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="47">
<ITEM>topic distillation</ITEM>
<ITEM>hyperlink</ITEM>
<ITEM>microscopic distillation</ITEM>
<ITEM>HITS</ITEM>
<ITEM>PageRank algorithm</ITEM>
<ITEM>XML</ITEM>
<ITEM>Google</ITEM>
<ITEM>DOM</ITEM>
<ITEM>text analysis</ITEM>
<ITEM>link localization</ITEM>
<ITEM>hub fragmentation</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="115">
<TITLE>Integration of Information Assurance and Security into the IT2005 Model Curriculum</TITLE>
<LINKS>
<LINK name="PDF" url="115/115.pdf"></LINK>
<LINK name="TXT" url="115/115.txt"></LINK>
<LINK name="HTML" url="115/115.html"></LINK>
<LINK name="XML" url="115/115.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>K.3.2 [Computer and Information Science Education] Accreditation</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Management</ITEM>
<ITEM>Security</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Information Assurance</ITEM>
<ITEM>Information Technology</ITEM>
<ITEM>CC2005</ITEM>
<ITEM>IT2005</ITEM>
<ITEM>Education</ITEM>
<ITEM>IT</ITEM>
<ITEM>IA</ITEM>
<ITEM>IAS</ITEM>
<ITEM>Pervasive Themes</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="48">
<ITEM>Information assurance</ITEM>
<ITEM>CITC-1</ITEM>
<ITEM>NIETP Program</ITEM>
<ITEM>Committee on National Security Systems</ITEM>
<ITEM>SIGITE Curriculum committee</ITEM>
<ITEM>Training standards</ITEM>
<ITEM>In-service training development</ITEM>
<ITEM>IT2005 volume</ITEM>
<ITEM>BYU curriculum</ITEM>
<ITEM>Security Knowledge</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="116">
<TITLE>Interactive Machine Learning</TITLE>
<LINKS>
<LINK name="PDF" url="116/116.pdf"></LINK>
<LINK name="TXT" url="116/116.txt"></LINK>
<LINK name="HTML" url="116/116.html"></LINK>
<LINK name="XML" url="116/116.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.5.2</ITEM>
<ITEM>D.2.2</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Design</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Machine learning</ITEM>
<ITEM>perceptive user interfaces</ITEM>
<ITEM>interaction</ITEM>
<ITEM>image processing</ITEM>
<ITEM>classification</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="48">
<ITEM>Perceptual user iinterfaces</ITEM>
<ITEM>Interactive machine learning</ITEM>
<ITEM>Image processing with crayons</ITEM>
<ITEM>Classical machine learning</ITEM>
<ITEM>Crayons design process</ITEM>
<ITEM>Perceptual interface</ITEM>
<ITEM>image/pixel classifier</ITEM>
<ITEM>Classification design loop</ITEM>
<ITEM>Crayons prototype</ITEM>
<ITEM>Predict correct behaviour</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="117">
<TITLE>Interestingness of Frequent Itemsets Using Bayesian Networks as Background Knowledge</TITLE>
<LINKS>
<LINK name="PDF" url="117/117.pdf"></LINK>
<LINK name="TXT" url="117/117.txt"></LINK>
<LINK name="HTML" url="117/117.html"></LINK>
<LINK name="XML" url="117/117.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.2.8 [Database Management]: Database Applications - data mining</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>association rule</ITEM>
<ITEM>frequent itemset</ITEM>
<ITEM>background knowledge</ITEM>
<ITEM>interestingness</ITEM>
<ITEM>Bayesian network</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>interestingness</ITEM>
<ITEM>frequent itemsets</ITEM>
<ITEM>background knowledge</ITEM>
<ITEM>Bayesian network</ITEM>
<ITEM>association rules</ITEM>
<ITEM>emerging pattern</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="118">
<TITLE>Interference Evaluation of Bluetooth and IEEE 802.11b Systems</TITLE>
<LINKS>
<LINK name="PDF" url="118/118.pdf"></LINK>
<LINK name="TXT" url="118/118.txt"></LINK>
<LINK name="HTML" url="118/118.html"></LINK>
<LINK name="XML" url="118/118.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>WPANs</ITEM>
<ITEM>Bluetooth</ITEM>
<ITEM>IEEE 802.11b</ITEM>
<ITEM>interference</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>interference</ITEM>
<ITEM>evaluation</ITEM>
<ITEM>Bluetooth</ITEM>
<ITEM>IEEE 802.11b</ITEM>
<ITEM>performance degradation</ITEM>
<ITEM>simulation framework</ITEM>
<ITEM>WLAN</ITEM>
<ITEM>packet loss</ITEM>
<ITEM>tranmission power</ITEM>
<ITEM>offered load</ITEM>
<ITEM>hop rate</ITEM>
<ITEM>topology</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="119">
<TITLE>Is a Picture Worth a Thousand Words?</TITLE>
<LINKS>
<LINK name="PDF" url="119/119.pdf"></LINK>
<LINK name="TXT" url="119/119.txt"></LINK>
<LINK name="HTML" url="119/119.html"></LINK>
<LINK name="XML" url="119/119.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Peripheral display</ITEM>
<ITEM>ambient display</ITEM>
<ITEM>information visualization</ITEM>
<ITEM>awareness information</ITEM>
<ITEM>empirical evaluation</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>awareness information</ITEM>
<ITEM>peripheral display</ITEM>
<ITEM>ambient display</ITEM>
<ITEM>evaluation</ITEM>
<ITEM>information recall</ITEM>
<ITEM>information conveyance</ITEM>
<ITEM>InfoCanvas display</ITEM>
<ITEM>Web portal-like display</ITEM>
<ITEM>text-based display</ITEM>
<ITEM>graphical representation</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="12">
<TITLE>A Geometric Constraint Library for 3D Graphical Applications</TITLE>
<LINKS>
<LINK name="PDF" url="12/12.pdf"></LINK>
<LINK name="TXT" url="12/12.txt"></LINK>
<LINK name="HTML" url="12/12.html"></LINK>
<LINK name="XML" url="12/12.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>geometric constraints</ITEM>
<ITEM>constraint satisfaction</ITEM>
<ITEM>geometric layout</ITEM>
<ITEM>3D graphics</ITEM>
<ITEM>scene graphs</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>3D graphical applications</ITEM>
<ITEM>geometric constraints</ITEM>
<ITEM>layout</ITEM>
<ITEM>behaviors</ITEM>
<ITEM>graphical objects</ITEM>
<ITEM>coordinate transformation</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="120">
<TITLE>KDDCS: A Load-Balanced In-Network Data-Centric Storage Scheme for Sensor Networks</TITLE>
<LINKS>
<LINK name="PDF" url="120/120.pdf"></LINK>
<LINK name="TXT" url="120/120.txt"></LINK>
<LINK name="HTML" url="120/120.html"></LINK>
<LINK name="XML" url="120/120.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.2.4 [DatabaseManagement]: Systems—Distributed databases,Query processing</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Design</ITEM>
<ITEM>Experimentation</ITEM>
<ITEM>Performance</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Sensor Network</ITEM>
<ITEM>Power-Aware</ITEM>
<ITEM>Distributed Algorithms</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>KDDCS</ITEM>
<ITEM>sensor network</ITEM>
<ITEM>routing algorithm</ITEM>
<ITEM>ad-hoc queries</ITEM>
<ITEM>DIM</ITEM>
<ITEM>data persistence</ITEM>
<ITEM>quality of data (QoD)</ITEM>
<ITEM>weighted split median problem</ITEM>
<ITEM>storage hot-spots</ITEM>
<ITEM>energy saving</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="121">
<TITLE>Language-specific Models in Multilingual Topic Tracking</TITLE>
<LINKS>
<LINK name="PDF" url="121/121.pdf"></LINK>
<LINK name="TXT" url="121/121.txt"></LINK>
<LINK name="HTML" url="121/121.html"></LINK>
<LINK name="XML" url="121/121.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.1 [Information Storage and Retrieval]: Content Analysis and Indexing – Indexing methods, Linguistic processing</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>classification</ITEM>
<ITEM>crosslingual</ITEM>
<ITEM>Arabic</ITEM>
<ITEM>TDT</ITEM>
<ITEM>topic tracking</ITEM>
<ITEM>multilingual</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>multilingual topic tracking</ITEM>
<ITEM>topic models</ITEM>
<ITEM>TDT</ITEM>
<ITEM>story link </ITEM>
<ITEM>similarity</ITEM>
<ITEM>native language hypothesis</ITEM>
<ITEM>machine translation</ITEM>
<ITEM>native topic models</ITEM>
<ITEM></ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="122">
<TITLE>Lazy Preservation: Reconstructing Websites by Crawling the Crawlers</TITLE>
<LINKS>
<LINK name="PDF" url="122/122.pdf"></LINK>
<LINK name="TXT" url="122/122.txt"></LINK>
<LINK name="HTML" url="122/122.html"></LINK>
<LINK name="XML" url="122/122.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.5 [Information Storage and Retrieval] Online Information Services: Webbased services</ITEM>
<ITEM>H.3.7 [Information Storage and Retrieval] Digital Libraries: Collection</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Measurement</ITEM>
<ITEM>Experimentation</ITEM>
<ITEM>Design</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>digital preservation</ITEM>
<ITEM>search engine</ITEM>
<ITEM>cached resources</ITEM>
<ITEM>recovery</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>lazy preservation</ITEM>
<ITEM>crawling</ITEM>
<ITEM>caching</ITEM>
<ITEM>web repositories</ITEM>
<ITEM>Search engines (SEs)</ITEM>
<ITEM>reconstruction</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="123">
<TITLE>Learning Concepts from Large Scale Imbalanced Data Sets Using Support Cluster Machines</TITLE>
<LINKS>
<LINK name="PDF" url="123/123.pdf"></LINK>
<LINK name="TXT" url="123/123.txt"></LINK>
<LINK name="HTML" url="123/123.html"></LINK>
<LINK name="XML" url="123/123.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.1 [Information Storage and Retrieval]: Content Analysis and Indexing - Abstracting methods,Indexing methods</ITEM>
<ITEM>I.5.2 [Pattern Recognition]: Design Methodology - Classifier design and evaluation</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Theory</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Support Vector Machines</ITEM>
<ITEM>Kernel k-means</ITEM>
<ITEM>Clustering</ITEM>
<ITEM>Concept Modelling</ITEM>
<ITEM>Large Scale</ITEM>
<ITEM>Imbalance</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>large scale data</ITEM>
<ITEM>imbalanced data</ITEM>
<ITEM>clusters</ITEM>
<ITEM>support cluster machines (SCMs)</ITEM>
<ITEM>Support Vector Machines (SVMs)</ITEM>
<ITEM>kernel k-means</ITEM>
<ITEM>TRECVID</ITEM>
<ITEM>meta-algorithm</ITEM>
<ITEM>shrinking techniques</ITEM>
<ITEM>concept modelling</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="124">
<TITLE>Learning Query Languages of Web Interfaces</TITLE>
<LINKS>
<LINK name="PDF" url="124/124.pdf"></LINK>
<LINK name="TXT" url="124/124.txt"></LINK>
<LINK name="HTML" url="124/124.html"></LINK>
<LINK name="XML" url="124/124.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Hidden Web</ITEM>
<ITEM>search interface</ITEM>
<ITEM>query operators</ITEM>
<ITEM>learning</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>query languages</ITEM>
<ITEM>hidden web</ITEM>
<ITEM>web resources</ITEM>
<ITEM>search engine</ITEM>
<ITEM>automatic acquisition</ITEM>
<ITEM>web interfaces</ITEM>
<ITEM>machine learning</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="125">
<TITLE>Learning Spatially Variant Dissimilarity (SVaD) Measures</TITLE>
<LINKS>
<LINK name="PDF" url="125/125.pdf"></LINK>
<LINK name="TXT" url="125/125.txt"></LINK>
<LINK name="HTML" url="125/125.html"></LINK>
<LINK name="XML" url="125/125.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.2.8 [Database Management]: Database Applications - Data Mining</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Clustering</ITEM>
<ITEM>Learning Dissimilarity Measures</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>clustering</ITEM>
<ITEM>dissimilarity measure</ITEM>
<ITEM>spatially varying dissimilarity (SVaD)</ITEM>
<ITEM>feature weighting</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="126">
<TITLE>Learning the Unified Kernel Machines for Classification</TITLE>
<LINKS>
<LINK name="PDF" url="126/126.pdf"></LINK>
<LINK name="TXT" url="126/126.txt"></LINK>
<LINK name="HTML" url="126/126.html"></LINK>
<LINK name="XML" url="126/126.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>I.5.2 [PATTERN RECOGNITION]: Design Methodology - Classifier design and evaluation</ITEM>
<ITEM>H.2.8 [Database Management]: Database Applications—Data mining</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Design</ITEM>
<ITEM>Algorithms</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Classification</ITEM>
<ITEM>Kernel Machines</ITEM>
<ITEM>Spectral Kernel Learning</ITEM>
<ITEM>Supervised Learning</ITEM>
<ITEM>Semi-Supervised Learning</ITEM>
<ITEM>Unsuper-vised Kernel Design</ITEM>
<ITEM>Kernel Logistic Regressions</ITEM>
<ITEM>Active Learning</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>unified kernel machine(UKM)</ITEM>
<ITEM>data mining</ITEM>
<ITEM>classification</ITEM>
<ITEM>semi-supervised kernel learning</ITEM>
<ITEM>spectral kernel learning (SKL)</ITEM>
<ITEM>framework</ITEM>
<ITEM>active learning</ITEM>
<ITEM>supervised learning</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="127">
<TITLE>Leo: A System for Cost Effective 3D Shaded Graphics</TITLE>
<LINKS>
<LINK name="PDF" url="127/127.pdf"></LINK>
<LINK name="TXT" url="127/127.txt"></LINK>
<LINK name="HTML" url="127/127.html"></LINK>
<LINK name="XML" url="127/127.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>C.1.2 [Processor Architectures]: Multiprocessors</ITEM>
<ITEM>I.3.1 [Computer Graphics]: Hardware Architecture</ITEM>
<ITEM>I.3.3 [Computer Graphics]: Picture/Image Generation Display algorithms</ITEM>
<ITEM>I.3.7 [Computer Graphics]: Three Dimensional Graphics and Realism</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<AUTHOR_KEYWORDS>
<ITEM>3D graphics hardware</ITEM>
<ITEM>rendering</ITEM>
<ITEM>parallel graphics algorithms</ITEM>
<ITEM>gouraud shading</ITEM>
<ITEM>antialiased lines</ITEM>
<ITEM>floating-point microprocessors</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="54">
<ITEM>low cost</ITEM>
<ITEM>3D shaded graphics</ITEM>
<ITEM>geometry data</ITEM>
<ITEM>input processing</ITEM>
<ITEM>floating point processing</ITEM>
<ITEM>parallel algorithms</ITEM>
<ITEM>video output</ITEM>
<ITEM>screen space rendering</ITEM>
<ITEM>small physical size</ITEM>
<ITEM>general graphics processing</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="128">
<TITLE>Location based Indexing Scheme for DAYS</TITLE>
<LINKS>
<LINK name="PDF" url="128/128.pdf"></LINK>
<LINK name="TXT" url="128/128.txt"></LINK>
<LINK name="HTML" url="128/128.html"></LINK>
<LINK name="XML" url="128/128.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.1 [Information Systems]: Information Storage and Retrieval – content analysis and indexing</ITEM>
<ITEM>H.3.3 [Information Systems]: Information Storage and Retrieval – information search and retrieval</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Performance</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Wireless data broadcast</ITEM>
<ITEM>indexing</ITEM>
<ITEM>location based services</ITEM>
<ITEM>data staging</ITEM>
<ITEM>location dependent data</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="54">
<ITEM>data dissemination</ITEM>
<ITEM>location dependent data</ITEM>
<ITEM>indexing scheme</ITEM>
<ITEM>wireless</ITEM>
<ITEM>mapping function</ITEM>
<ITEM>access efficiency</ITEM>
<ITEM>energy conservation</ITEM>
<ITEM>broadcast</ITEM>
<ITEM>containment</ITEM>
<ITEM>push based architecture</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="129">
<TITLE>Lossless Online Bayesian Bagging</TITLE>
<LINKS>
<LINK name="PDF" url="129/129.pdf"></LINK>
<LINK name="TXT" url="129/129.txt"></LINK>
<LINK name="HTML" url="129/129.html"></LINK>
<LINK name="XML" url="129/129.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Classification Tree</ITEM>
<ITEM>Bayesian Bootstrap</ITEM>
<ITEM>Dirichlet Distribution</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>bagging</ITEM>
<ITEM>online bagging</ITEM>
<ITEM>Bayesian bagging</ITEM>
<ITEM>lossless learning algorithm</ITEM>
<ITEM>mean-squared prediction error</ITEM>
<ITEM>bootstrap</ITEM>
<ITEM>classification</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="13">
<TITLE>A Machine Learning Based Approach for Table Detection on The Web</TITLE>
<LINKS>
<LINK name="PDF" url="13/13.pdf"></LINK>
<LINK name="TXT" url="13/13.txt"></LINK>
<LINK name="HTML" url="13/13.html"></LINK>
<LINK name="XML" url="13/13.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.4.3 [Information Systems Applications]: Communications Applications|Information browsers</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Table Detection</ITEM>
<ITEM>Layout Analysis</ITEM>
<ITEM>Machine Learning</ITEM>
<ITEM>Decision tree</ITEM>
<ITEM>Support Vector Machine</ITEM>
<ITEM>Information Retrieval</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="2">
<ITEM>presentation</ITEM>
<ITEM>Table detection</ITEM>
<ITEM>classifcation schemes</ITEM>
<ITEM>machine learning based approach</ITEM>
<ITEM>table ground truthing protocol</ITEM>
<ITEM>Algorithms</ITEM>
<ITEM>classifers</ITEM>
<ITEM>Layout </ITEM>
<ITEM>content type </ITEM>
<ITEM>word group </ITEM>
<ITEM>HTML document</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="130">
<TITLE>Low Latency Photon Mapping Using Block Hashing</TITLE>
<LINKS>
<LINK name="PDF" url="130/130.pdf"></LINK>
<LINK name="TXT" url="130/130.txt"></LINK>
<LINK name="HTML" url="130/130.html"></LINK>
<LINK name="XML" url="130/130.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism, Color, Shading, Shadowing, and Texture</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>photon mapping</ITEM>
<ITEM>kNN</ITEM>
<ITEM>AkNN</ITEM>
<ITEM>block hashing (BH)</ITEM>
<ITEM>hashing techniques</ITEM>
<ITEM>accelerator</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="131">
<TITLE>Lower Bounds and Competitive Algorithms for Online Scheduling of Unit-Size Tasks to Related Machines</TITLE>
<LINKS>
<LINK name="PDF" url="131/131.pdf"></LINK>
<LINK name="TXT" url="131/131.txt"></LINK>
<LINK name="HTML" url="131/131.html"></LINK>
<LINK name="XML" url="131/131.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Limited Information</ITEM>
<ITEM>Online Load Balancing</ITEM>
<ITEM>Related Machines</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>unit-size task</ITEM>
<ITEM>online information</ITEM>
<ITEM>scheduling</ITEM>
<ITEM>oblivious scheduler</ITEM>
<ITEM>related machines</ITEM>
<ITEM>HOPS</ITEM>
<ITEM>input sequence</ITEM>
<ITEM>lower bounds</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="132">
<TITLE>Machine Learning for Information Architecture in a Large Governmental Website</TITLE>
<LINKS>
<LINK name="PDF" url="132/132.pdf"></LINK>
<LINK name="TXT" url="132/132.txt"></LINK>
<LINK name="HTML" url="132/132.html"></LINK>
<LINK name="XML" url="132/132.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.7 [Information Storage and Retrieval]: Digital Libraries - Systems Issues, User Issues</ITEM>
<ITEM>H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval - Clustering</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Design</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Machine Learning</ITEM>
<ITEM>Information Architecture</ITEM>
<ITEM>Interface Design</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>relational browser</ITEM>
<ITEM>information architecture</ITEM>
<ITEM>digital libraries</ITEM>
<ITEM>document representation</ITEM>
<ITEM>topic discovery</ITEM>
<ITEM>BLS</ITEM>
<ITEM>clustering</ITEM>
<ITEM>document classification</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="133">
<TITLE>Machine Learning in DNA Microarray Analysis for Cancer Classification</TITLE>
<LINKS>
<LINK name="PDF" url="133/133.pdf"></LINK>
<LINK name="TXT" url="133/133.txt"></LINK>
<LINK name="HTML" url="133/133.html"></LINK>
<LINK name="XML" url="133/133.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Biological data mining</ITEM>
<ITEM>feature selection</ITEM>
<ITEM>classification</ITEM>
<ITEM>gene expression profile</ITEM>
<ITEM>MLP</ITEM>
<ITEM>KNN</ITEM>
<ITEM>SVM</ITEM>
<ITEM>SASOM</ITEM>
<ITEM>ensemble classifier</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="134">
<TITLE>Machine Learning in Low-level Microarray Analysis</TITLE>
<LINKS>
<LINK name="PDF" url="134/134.pdf"></LINK>
<LINK name="TXT" url="134/134.txt"></LINK>
<LINK name="HTML" url="134/134.html"></LINK>
<LINK name="XML" url="134/134.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Low-level microarray analysis</ITEM>
<ITEM>gene expression estimation</ITEM>
<ITEM>genotyping</ITEM>
<ITEM>re-sequencing</ITEM>
<ITEM>transcript discovery</ITEM>
<ITEM>transductive learning</ITEM>
<ITEM>semi-supervised learning</ITEM>
<ITEM>learning from heterogeneous data</ITEM>
<ITEM>incremental learning</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>microarray</ITEM>
<ITEM>semi-supervised learning</ITEM>
<ITEM>data mining</ITEM>
<ITEM>statistics</ITEM>
<ITEM>heterogeneous data</ITEM>
<ITEM>incremental learning</ITEM>
<ITEM>low-level analysis</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="135">
<TITLE>Measuring Cohesion of Packages in Ada95</TITLE>
<LINKS>
<LINK name="PDF" url="135/135.pdf"></LINK>
<LINK name="TXT" url="135/135.txt"></LINK>
<LINK name="HTML" url="135/135.html"></LINK>
<LINK name="XML" url="135/135.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>D.2.8 [Software Engineering]: Metrics – performance measures</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Measurement</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Measurement</ITEM>
<ITEM>Cohesion</ITEM>
<ITEM>Object-Oriented</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>cohesion</ITEM>
<ITEM>Ada95</ITEM>
<ITEM>OO programming</ITEM>
<ITEM>measure</ITEM>
<ITEM>dependence</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="136">
<TITLE>Measuring e-Government Impact: Existing practices and shortcomings</TITLE>
<LINKS>
<LINK name="PDF" url="136/136.pdf"></LINK>
<LINK name="TXT" url="136/136.txt"></LINK>
<LINK name="HTML" url="136/136.html"></LINK>
<LINK name="XML" url="136/136.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>J.1 [Administrative Data Processing]: Administrative Data Processing - Government</ITEM>
<ITEM>K.4.4 [Computing Milieux]: Computers and Society—Electronic Commerce</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Management</ITEM>
<ITEM>Measurement</ITEM>
<ITEM>Performance</ITEM>
<ITEM>Standardization</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>E-government</ITEM>
<ITEM>law</ITEM>
<ITEM>interoperability</ITEM>
<ITEM>architectures</ITEM>
<ITEM>measurement</ITEM>
<ITEM>evaluation</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>benchmark</ITEM>
<ITEM>measurement</ITEM>
<ITEM>e-government</ITEM>
<ITEM>public administration</ITEM>
<ITEM>business process</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="137">
<TITLE>Minimizing Average Flow Time on Related Machines</TITLE>
<LINKS>
<LINK name="PDF" url="137/137.pdf"></LINK>
<LINK name="TXT" url="137/137.txt"></LINK>
<LINK name="HTML" url="137/137.html"></LINK>
<LINK name="XML" url="137/137.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>F.2.2 [Analysis of Algorithms and Problem Complexity]: Nonnumerical Algorithms and Problems—Sequencing and Scheduling</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Scheduling</ITEM>
<ITEM>flow-time</ITEM>
<ITEM>competitive ratio</ITEM>
<ITEM>approximation algorithms</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>average flow time</ITEM>
<ITEM>related machines</ITEM>
<ITEM>scheduling</ITEM>
<ITEM>multiprocessor environment</ITEM>
<ITEM>non-migratory algorithm</ITEM>
<ITEM>preemption</ITEM>
<ITEM>competitive ratio</ITEM>
<ITEM>processing time</ITEM>
<ITEM>poly-logarithmic factor</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="138">
<TITLE>Modeling and Predicting Personal Information Dissemination Behavior</TITLE>
<LINKS>
<LINK name="PDF" url="138/138.pdf"></LINK>
<LINK name="TXT" url="138/138.txt"></LINK>
<LINK name="HTML" url="138/138.html"></LINK>
<LINK name="XML" url="138/138.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>I.2.6 [Artificial Intelligence]: Learning</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>algorithms</ITEM>
<ITEM>experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>user behavior modeling</ITEM>
<ITEM>personal information management</ITEM>
<ITEM>information dissemination</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="139">
<TITLE>Modeling Behavioral Design Patterns of Concurrent Objects</TITLE>
<LINKS>
<LINK name="PDF" url="139/139.pdf"></LINK>
<LINK name="TXT" url="139/139.txt"></LINK>
<LINK name="HTML" url="139/139.html"></LINK>
<LINK name="XML" url="139/139.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>D.2.2 [Software Engineering]: Design Tools and Techniques – Object-oriented design methods, Petri nets</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Performance</ITEM>
<ITEM>Design</ITEM>
<ITEM>Reliability</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Software Architecture</ITEM>
<ITEM>COMET</ITEM>
<ITEM>Colored Petri Nets</ITEM>
<ITEM>Behavioral Design Patterns</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="14">
<TITLE>A New Approach to Intranet Search Based on Information Extraction</TITLE>
<LINKS>
<LINK name="PDF" url="14/14.pdf"></LINK>
<LINK name="TXT" url="14/14.txt"></LINK>
<LINK name="HTML" url="14/14.html"></LINK>
<LINK name="XML" url="14/14.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval – search process</ITEM>
<ITEM>I.7.m [Document and Text Processing]: Miscellaneous</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Experimentation</ITEM>
<ITEM>Human Factors</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Intranet search</ITEM>
<ITEM>information extraction</ITEM>
<ITEM>metadata extraction</ITEM>
<ITEM>expert finding</ITEM>
<ITEM>definition search</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="2">
<ITEM>intranet search</ITEM>
<ITEM>types of information</ITEM>
<ITEM>information extraction</ITEM>
<ITEM>architecture</ITEM>
<ITEM>features</ITEM>
<ITEM>component technologies</ITEM>
<ITEM>Algorithms</ITEM>
<ITEM>Experimentation</ITEM>
<ITEM>Human Factors</ITEM>
<ITEM>Search Needs</ITEM>
<ITEM>INFORMATION DESK</ITEM>
<ITEM>information retrieval</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="140">
<TITLE>Modeling Node Compromise Spread in Wireless Sensor Networks Using Epidemic Theory</TITLE>
<LINKS>
<LINK name="PDF" url="140/140.pdf"></LINK>
<LINK name="TXT" url="140/140.txt"></LINK>
<LINK name="HTML" url="140/140.html"></LINK>
<LINK name="XML" url="140/140.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Sensor Networks</ITEM>
<ITEM>Epidemiology</ITEM>
<ITEM>Random Key Predistribution</ITEM>
<ITEM>Random Graph</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="141">
<TITLE>Modelling Adversaries and Security Objectives for Routing Protocols in Wireless Sensor Networks</TITLE>
<LINKS>
<LINK name="PDF" url="141/141.pdf"></LINK>
<LINK name="TXT" url="141/141.txt"></LINK>
<LINK name="HTML" url="141/141.html"></LINK>
<LINK name="XML" url="141/141.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>C.2.2 [Computer Systems Organization]: Computer -  Communication Networks - Network Protocols</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Design</ITEM>
<ITEM>Security</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Sensor Networks</ITEM>
<ITEM>Routing Protocols</ITEM>
<ITEM>Adversary Model</ITEM>
<ITEM>Provable Security</ITEM>
<ITEM>Simulatability</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="142">
<TITLE>Obfuscated Databases and Group Privacy</TITLE>
<LINKS>
<LINK name="PDF" url="142/142.pdf"></LINK>
<LINK name="TXT" url="142/142.txt"></LINK>
<LINK name="HTML" url="142/142.html"></LINK>
<LINK name="XML" url="142/142.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>E.3[Data Encryption]; H.2.7[Database Administration]: Security, integrity, and protection</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Security</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Database privacy</ITEM>
<ITEM>Obfuscation</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="143">
<TITLE>On the Complexity of Computing Peer Agreements for Consistent Query Answering in Peer-to-Peer Data Integration Systems</TITLE>
<LINKS>
<LINK name="PDF" url="143/143.pdf"></LINK>
<LINK name="TXT" url="143/143.txt"></LINK>
<LINK name="HTML" url="143/143.html"></LINK>
<LINK name="XML" url="143/143.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.2.4 [Database Management]: systems—Relational databases</ITEM>
<ITEM>F.2.2 [Analysis of Algorithms and Problem Complexity]: Nonnumerical Algorithms and Problems</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Theory</ITEM>
<ITEM>Management</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Peer-to-Peer Systems</ITEM>
<ITEM>Data Integration Systems</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="144">
<TITLE>On the Discovery of Significant Statistical Quantitative Rules</TITLE>
<LINKS>
<LINK name="PDF" url="144/144.pdf"></LINK>
<LINK name="TXT" url="144/144.txt"></LINK>
<LINK name="HTML" url="144/144.html"></LINK>
<LINK name="XML" url="144/144.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.2.8 [Database Management]: Database Applications - Data Mining</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Management</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Rule discovery</ITEM>
<ITEM>market share rules</ITEM>
<ITEM>statistical quantitative rules</ITEM>
<ITEM>nonparametric methods</ITEM>
<ITEM>resampling</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="145">
<TITLE>Optimal Transmission Range for Cluster-Based Wireless Sensor Networks With Mixed Communication Modes</TITLE>
<LINKS>
<LINK name="PDF" url="145/145.pdf"></LINK>
<LINK name="TXT" url="145/145.txt"></LINK>
<LINK name="HTML" url="145/145.html"></LINK>
<LINK name="XML" url="145/145.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Wireless sensor networks</ITEM>
<ITEM>network lifetime</ITEM>
<ITEM>clustering</ITEM>
<ITEM>Voronoi cell</ITEM>
<ITEM>optimization</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="Anh">
<ITEM>heterogeneous cluster-based sensor network</ITEM>
<ITEM>energy optimization</ITEM>
<ITEM>optimal transmission range</ITEM>
<ITEM>numerical model</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="146">
<TITLE>Parallel Crawlers</TITLE>
<LINKS>
<LINK name="PDF" url="146/146.pdf"></LINK>
<LINK name="TXT" url="146/146.txt"></LINK>
<LINK name="HTML" url="146/146.html"></LINK>
<LINK name="XML" url="146/146.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.5.4 [Hypertext/Hypermedia]: Architectures</ITEM>
<ITEM>H.3.4 [Systems and Software]: Distributed Systems</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Management</ITEM>
<ITEM>Performance</ITEM>
<ITEM>Design</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Web Crawler</ITEM>
<ITEM>Web Spider</ITEM>
<ITEM>Parallelization</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="Anh">
<ITEM>parallel crawler</ITEM>
<ITEM>architecture</ITEM>
<ITEM>model evaluation</ITEM>
<ITEM>guideline</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="147">
<TITLE>Performance Enhancing Proxy for Interactive 3G Network Gaming</TITLE>
<LINKS>
<LINK name="PDF" url="147/147.pdf"></LINK>
<LINK name="TXT" url="147/147.txt"></LINK>
<LINK name="HTML" url="147/147.html"></LINK>
<LINK name="XML" url="147/147.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>C.2 [Computer-Communication Networks]: Network Architecture and Design - Wireless communication</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Performance</ITEM>
<ITEM>Design</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Wireless Networks</ITEM>
<ITEM>Network Gaming</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="Anh">
<ITEM>3G wireless network</ITEM>
<ITEM>proxy architecture</ITEM>
<ITEM>time critical data</ITEM>
<ITEM>congestion control</ITEM>
<ITEM>loss-optimized</ITEM>
<ITEM>RLC configuration</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="148">
<TITLE>Physically-Based Visual Simulation on Graphics Hardware</TITLE>
<LINKS>
<LINK name="PDF" url="148/148.pdf"></LINK>
<LINK name="TXT" url="148/148.txt"></LINK>
<LINK name="HTML" url="148/148.html"></LINK>
<LINK name="XML" url="148/148.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Coupled Map Lattice</ITEM>
<ITEM>CML</ITEM>
<ITEM>Visual Simulation</ITEM>
<ITEM>Graphics Hardware</ITEM>
<ITEM>Reaction-Diffusion</ITEM>
<ITEM>Multipass Rendering</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="Anh">
<ITEM>graphic hardware</ITEM>
<ITEM>CML</ITEM>
<ITEM>dynamic phenomena</ITEM>
<ITEM>simulation</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="149">
<TITLE>Physiological Measures of Presence in Stressful Virtual Environments</TITLE>
<LINKS>
<LINK name="PDF" url="149/149.pdf"></LINK>
<LINK name="TXT" url="149/149.txt"></LINK>
<LINK name="HTML" url="149/149.html"></LINK>
<LINK name="XML" url="149/149.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism - Virtual Reality</ITEM>
<ITEM>H.5.2 [Information Interfaces and Presentation]: User Interfaces – Evaluation/Methodology</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<AUTHOR_KEYWORDS>
<ITEM>Presence</ITEM>
<ITEM>Physiology</ITEM>
<ITEM>Haptics</ITEM>
<ITEM>Frame Rate</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="Anh">
<ITEM>presence</ITEM>
<ITEM>virtual environment</ITEM>
<ITEM>measurement</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="15">
<TITLE>A New Statistical Formula for Chinese Text Segmentation Incorporating Contextual Information</TITLE>
<LINKS>
<LINK name="PDF" url="15/15.pdf"></LINK>
<LINK name="TXT" url="15/15.txt"></LINK>
<LINK name="HTML" url="15/15.html"></LINK>
<LINK name="XML" url="15/15.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Chinese text segmentation</ITEM>
<ITEM>word boundary identification</ITEM>
<ITEM>logistic regression</ITEM>
<ITEM>multi-word terms</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>contextual information</ITEM>
<ITEM>Chinese text segmentation</ITEM>
<ITEM>word boundary</ITEM>
<ITEM>natural language processing</ITEM>
<ITEM>mutual information</ITEM>
<ITEM>statistical formula</ITEM>
<ITEM>regression model</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="150">
<TITLE>Preventing Attribute Information Leakage in Automated Trust Negotiation</TITLE>
<LINKS>
<LINK name="PDF" url="150/150.pdf"></LINK>
<LINK name="TXT" url="150/150.txt"></LINK>
<LINK name="HTML" url="150/150.html"></LINK>
<LINK name="XML" url="150/150.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>K.6.5 [Management of Computing and Information Systems]: Security and Protection</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Security</ITEM>
<ITEM>Theory</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Privacy</ITEM>
<ITEM>Trust Negotiation</ITEM>
<ITEM>Attribute-based Access Control</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="151">
<TITLE>Probabilistic Author-Topic Models for Information Discovery</TITLE>
<LINKS>
<LINK name="PDF" url="151/151.pdf"></LINK>
<LINK name="TXT" url="151/151.txt"></LINK>
<LINK name="HTML" url="151/151.html"></LINK>
<LINK name="XML" url="151/151.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>I.2.6 [Artificial Intelligence]: Learning</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>algorithms</ITEM>
<ITEM>experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>unsupervised learning</ITEM>
<ITEM>Gibbs sampling</ITEM>
<ITEM>text modeling</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="152">
<TITLE>Proportional Search Interface Usability Measures</TITLE>
<LINKS>
<LINK name="PDF" url="152/152.pdf"></LINK>
<LINK name="TXT" url="152/152.txt"></LINK>
<LINK name="HTML" url="152/152.html"></LINK>
<LINK name="XML" url="152/152.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H5.2. Information interfaces and presentation (e.g., HCI): User Interfaces: Evaluation/methodology</ITEM>
<ITEM>H3.3. Information Storage and Retrieval: Information Search and Retrieval: Search Process</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<AUTHOR_KEYWORDS>
<ITEM>Search user interface</ITEM>
<ITEM>usability evaluation</ITEM>
<ITEM>usability measure</ITEM>
<ITEM>speed</ITEM>
<ITEM>accuracy</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="153">
<TITLE>Protected Interactive 3D Graphics Via Remote Rendering</TITLE>
<LINKS>
<LINK name="PDF" url="153/153.pdf"></LINK>
<LINK name="TXT" url="153/153.txt"></LINK>
<LINK name="HTML" url="153/153.html"></LINK>
<LINK name="XML" url="153/153.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>I.3.2 [Computer Graphics]: Graphics Systems - Remote systems</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<AUTHOR_KEYWORDS>
<ITEM>security</ITEM>
<ITEM>3D models</ITEM>
<ITEM>remote rendering</ITEM>
<ITEM>digital rights management</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="154">
<TITLE>Providing the Basis for Human-Robot-Interaction: A Multi-Modal Attention System for a Mobile Robot</TITLE>
<LINKS>
<LINK name="PDF" url="154/154.pdf"></LINK>
<LINK name="TXT" url="154/154.txt"></LINK>
<LINK name="HTML" url="154/154.html"></LINK>
<LINK name="XML" url="154/154.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>I.4.8 [Image Processing and Computer Vision]: Scene Analysis - Sensor fusion, Tracking</ITEM>
<ITEM>H.1.2 [Models and Principles]: User/Machine Systems</ITEM>
<ITEM>I.5.5 [Pattern Recognition]: Implementation - Interactive systems</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Performance</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Human-robot-interaction</ITEM>
<ITEM>Multi-modal person tracking</ITEM>
<ITEM>Attention</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="155">
<TITLE>Psychologically Targeted Persuasive Advertising and Product Information in E-Commerce</TITLE>
<LINKS>
<LINK name="PDF" url="155/155.pdf"></LINK>
<LINK name="TXT" url="155/155.txt"></LINK>
<LINK name="HTML" url="155/155.html"></LINK>
<LINK name="XML" url="155/155.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.1.2 [User/machine systems]: Human factors, human information processing, software psychology</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Performance</ITEM>
<ITEM>Design</ITEM>
<ITEM>Human Factors</ITEM>
<ITEM>Theory</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>E-commerce</ITEM>
<ITEM>advertising</ITEM>
<ITEM>personalization emotion</ITEM>
<ITEM>persuasion</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="156">
<TITLE>Publicly Verifiable Ownership Protection for Relational Databases</TITLE>
<LINKS>
<LINK name="PDF" url="156/156.pdf"></LINK>
<LINK name="TXT" url="156/156.txt"></LINK>
<LINK name="HTML" url="156/156.html"></LINK>
<LINK name="XML" url="156/156.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.2.4 [Database Management]: Systems—relational databases</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<AUTHOR_KEYWORDS>
<ITEM>Relational database</ITEM>
<ITEM>ownership protection</ITEM>
<ITEM>public verifiability</ITEM>
<ITEM>watermark</ITEM>
<ITEM>certificate</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="157">
<TITLE>Putting Integrated Information in Context: Superimposing Conceptual Models with SPARCE</TITLE>
<LINKS>
<LINK name="PDF" url="157/157.pdf"></LINK>
<LINK name="TXT" url="157/157.txt"></LINK>
<LINK name="HTML" url="157/157.html"></LINK>
<LINK name="XML" url="157/157.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Conceptual modelling</ITEM>
<ITEM>superimposed information</ITEM>
<ITEM>software architecture</ITEM>
<ITEM>excerpts</ITEM>
<ITEM>context</ITEM>
<ITEM>SPARCE .</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="158">
<TITLE>Quality-of-Service in IP Services over Bluetooth Ad-Hoc Networks</TITLE>
<LINKS>
<LINK name="PDF" url="158/158.pdf"></LINK>
<LINK name="TXT" url="158/158.txt"></LINK>
<LINK name="HTML" url="158/158.html"></LINK>
<LINK name="XML" url="158/158.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>quality of service</ITEM>
<ITEM>Bluetooth-IP access system</ITEM>
<ITEM>BNEP protocol</ITEM>
<ITEM>handoff</ITEM>
<ITEM>resource allocation</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="159">
<TITLE>Web Question Answering: Is More Always Better?</TITLE>
<LINKS>
<LINK name="PDF" url="159/159.pdf"></LINK>
<LINK name="TXT" url="159/159.txt"></LINK>
<LINK name="HTML" url="159/159.html"></LINK>
<LINK name="XML" url="159/159.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.1. [Content Analysis and Indexing], H.3.3 [Information Search and Retrieval]</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<KEYWORDS>
<KEYWORD_SET origin="70">
<ITEM>question answering system</ITEM>
<ITEM>redundancy in large corpora</ITEM>
<ITEM>simple passage ranking</ITEM>
<ITEM>n-gram extraction techniques</ITEM>
<ITEM>information retrieval</ITEM>
<ITEM>information extraction</ITEM>
<ITEM>machine learning</ITEM>
<ITEM>natural language processing</ITEM>
<ITEM>automatic QA</ITEM>
<ITEM>TREC QA</ITEM>
<ITEM>rewrite query</ITEM>
<ITEM>facilitates answer mining</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="16">
<TITLE>A Programming Languages Course for Freshmen</TITLE>
<LINKS>
<LINK name="PDF" url="16/16.pdf"></LINK>
<LINK name="TXT" url="16/16.txt"></LINK>
<LINK name="HTML" url="16/16.html"></LINK>
<LINK name="XML" url="16/16.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>K.3.2 [Computers and education]: Computer and information science education – computer science education</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Languages</ITEM>
<ITEM>Theory</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Programming languages</ITEM>
<ITEM>formal grammars</ITEM>
<ITEM>language description</ITEM>
<ITEM>programming paradigms</ITEM>
<ITEM>functional programming</ITEM>
<ITEM>recursion</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>programming language course</ITEM>
<ITEM>computer science</ITEM>
<ITEM>freshmen</ITEM>
<ITEM>curriculum</ITEM>
<ITEM>programming paradigms</ITEM>
<ITEM>topics</ITEM>
<ITEM>programming methodology</ITEM>
<ITEM>laboratory component</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="160">
<TITLE>Query Result Ranking over E-commerce Web Databases</TITLE>
<LINKS>
<LINK name="PDF" url="160/160.pdf"></LINK>
<LINK name="TXT" url="160/160.txt"></LINK>
<LINK name="HTML" url="160/160.html"></LINK>
<LINK name="XML" url="160/160.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.5 [INFORMATION STORAGE AND RETRIEVAL]: Online Information Services - Web-based services</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Design</ITEM>
<ITEM>Experimentation</ITEM>
<ITEM>Human Factors</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>E-commerce</ITEM>
<ITEM>Query result ranking</ITEM>
<ITEM>Attribute weight assignment</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="70">
<ITEM>query result ranking</ITEM>
<ITEM>e-commerce web databases</ITEM>
<ITEM>rank the query results</ITEM>
<ITEM>attribute value</ITEM>
<ITEM>many query result problem</ITEM>
<ITEM>QRRE</ITEM>
<ITEM>attribute preference</ITEM>
<ITEM>PIR</ITEM>
<ITEM>algorithms</ITEM>
<ITEM>design</ITEM>
<ITEM>experimentation</ITEM>
<ITEM>human factors</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="161">
<TITLE>Query Type Classification for Web Document Retrieval</TITLE>
<LINKS>
<LINK name="PDF" url="161/161.pdf"></LINK>
<LINK name="TXT" url="161/161.txt"></LINK>
<LINK name="HTML" url="161/161.html"></LINK>
<LINK name="XML" url="161/161.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.4.m [Information Systems Applications]: Miscellaneous</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Combination of Multiple Evidences</ITEM>
<ITEM>Link Information</ITEM>
<ITEM>URL Information</ITEM>
<ITEM>Query Classification</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="71">
<ITEM>web document</ITEM>
<ITEM>IR</ITEM>
<ITEM>URL</ITEM>
<ITEM>task</ITEM>
<ITEM>information</ITEM>
<ITEM>frequency</ITEM>
<ITEM>query</ITEM>
<ITEM>rate</ITEM>
<ITEM>model </ITEM>
<ITEM>improvement</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="162">
<TITLE>Querying Bi-level Information</TITLE>
<LINKS>
<LINK name="PDF" url="162/162.pdf"></LINK>
<LINK name="TXT" url="162/162.txt"></LINK>
<LINK name="HTML" url="162/162.html"></LINK>
<LINK name="XML" url="162/162.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval---Information filtering, Retrieval models</ITEM>
<ITEM>H.2.5 [Database Management]: Heterogeneous Databases</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Management</ITEM>
<ITEM>Performance</ITEM>
<ITEM>Design</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Bi-level queries</ITEM>
<ITEM>SPARCE</ITEM>
<ITEM>Superimposed information management</ITEM>
<ITEM>Information integration</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="71">
<ITEM>information</ITEM>
<ITEM>management</ITEM>
<ITEM>superimposed</ITEM>
<ITEM>RIDPAD</ITEM>
<ITEM>query</ITEM>
<ITEM>system</ITEM>
<ITEM>document</ITEM>
<ITEM>hyperlink</ITEM>
<ITEM>implementation</ITEM>
<ITEM>METAXPath</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="163">
<TITLE>Ranking Flows from Sampled Traffic</TITLE>
<LINKS>
<LINK name="PDF" url="163/163.pdf"></LINK>
<LINK name="TXT" url="163/163.txt"></LINK>
<LINK name="HTML" url="163/163.html"></LINK>
<LINK name="XML" url="163/163.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>C.4 [Computer Systems Organization]: PERFORMANCE OF SYSTEMS|Measurement techniques</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Measurement</ITEM>
<ITEM>Performance</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Packet sampling</ITEM>
<ITEM>largest flow detection and ranking</ITEM>
<ITEM>performance evaluation</ITEM>
<ITEM>validation with real traces</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="164">
<TITLE>Ranking Target Objects of Navigational Queries</TITLE>
<LINKS>
<LINK name="PDF" url="164/164.pdf"></LINK>
<LINK name="TXT" url="164/164.txt"></LINK>
<LINK name="HTML" url="164/164.html"></LINK>
<LINK name="XML" url="164/164.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.5 [Information Storage and Retrieval]: Online Information Services - Web-based Services</ITEM>
<ITEM>H.2.8 [Database Management]: Database Applications - Data Mining</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Ranking</ITEM>
<ITEM>Navigational Query</ITEM>
<ITEM>Link Analysis</ITEM>
<ITEM>PageRank</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="165">
<TITLE>Ranking Web Objects from Multiple Communities</TITLE>
<LINKS>
<LINK name="PDF" url="165/165.pdf"></LINK>
<LINK name="TXT" url="165/165.txt"></LINK>
<LINK name="HTML" url="165/165.html"></LINK>
<LINK name="XML" url="165/165.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval</ITEM>
<ITEM>G.2.2 [Discrete Mathematics]: Graph Theory</ITEM>
<ITEM>H.3.5 [Information Storage and Retrieval]: Online Information Services – Web-based services</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Web objects</ITEM>
<ITEM>image search</ITEM>
<ITEM>ranking</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="166">
<TITLE>Real-world Oriented Information Sharing Using Social Networks</TITLE>
<LINKS>
<LINK name="PDF" url="166/166.pdf"></LINK>
<LINK name="TXT" url="166/166.txt"></LINK>
<LINK name="HTML" url="166/166.html"></LINK>
<LINK name="XML" url="166/166.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.5.3 [Information Interfaces AND Presentation]: Group and Organizational Interfaces - collaborative computing, computer-supported cooperative work, web-based interaction</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Design</ITEM>
<ITEM>Human Factors</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Information sharing</ITEM>
<ITEM>Social network</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="167">
<TITLE>Remote Access to Large Spatial Databases</TITLE>
<LINKS>
<LINK name="PDF" url="167/167.pdf"></LINK>
<LINK name="TXT" url="167/167.txt"></LINK>
<LINK name="HTML" url="167/167.html"></LINK>
<LINK name="XML" url="167/167.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>C.2.4 [Computer-Communication Networks]: Distributed Systems—Client/server, Distributed applications,Distributed databases; H.2.8 [Database Management]:Database Applications—Spatial databases and GIS</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Performance</ITEM>
<ITEM>Management</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>GIS</ITEM>
<ITEM>Internet</ITEM>
<ITEM>Client/server</ITEM>
<ITEM>Peer-to-peer</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="168">
<TITLE>ResearchExplorer: Gaining Insights through Exploration in Multimedia Scientific Data</TITLE>
<LINKS>
<LINK name="PDF" url="168/168.pdf"></LINK>
<LINK name="TXT" url="168/168.txt"></LINK>
<LINK name="HTML" url="168/168.html"></LINK>
<LINK name="XML" url="168/168.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.5.2 [Information Interfaces and Presentation]: User Interfaces – graphical user interfaces</ITEM>
<ITEM>H.2.8 [Database Management]: Database Applications – scientific databases</ITEM>
<ITEM>H.3.1 [Information Storage and Retrieval]: Content Analysis and Indexing – indexing methods</ITEM>
<ITEM>H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval – query formulation, search process</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Management</ITEM>
<ITEM>Design</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Insight</ITEM>
<ITEM>Interaction Environment</ITEM>
<ITEM>Event</ITEM>
<ITEM>Research Event</ITEM>
<ITEM>Exploration</ITEM>
<ITEM>Multimedia Data</ITEM>
<ITEM>Spatio-Temporal Data</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="169">
<TITLE>Robustness Analysis of Cognitive Information Complexity Measure using Weyuker Properties</TITLE>
<LINKS>
<LINK name="PDF" url="169/169.pdf"></LINK>
<LINK name="TXT" url="169/169.txt"></LINK>
<LINK name="HTML" url="169/169.html"></LINK>
<LINK name="XML" url="169/169.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Weighted information count</ITEM>
<ITEM>cognitive information complexity unit</ITEM>
<ITEM>cognitive weight</ITEM>
<ITEM>cognitive information complexity measure</ITEM>
<ITEM>basic control structures</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="17">
<TITLE>A Pseudo Random Coordinated Scheduling Algorithm for Bluetooth Scatternets</TITLE>
<LINKS>
<LINK name="PDF" url="17/17.pdf"></LINK>
<LINK name="TXT" url="17/17.txt"></LINK>
<LINK name="HTML" url="17/17.html"></LINK>
<LINK name="XML" url="17/17.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Bluetooth</ITEM>
<ITEM>scheduling</ITEM>
<ITEM>inter-piconet communication</ITEM>
<ITEM>scatternet</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="4">
<ITEM>Bluetooth</ITEM>
<ITEM>piconets</ITEM>
<ITEM>bridging unit</ITEM>
<ITEM>slaves</ITEM>
<ITEM>PCSS algorithm</ITEM>
<ITEM>checkpoint</ITEM>
<ITEM>intensity</ITEM>
<ITEM>total utilization</ITEM>
<ITEM>threshold</ITEM>
<ITEM>Network Access Point</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="170">
<TITLE>Run-Time Dynamic Linking for Reprogramming Wireless Sensor Networks</TITLE>
<LINKS>
<LINK name="PDF" url="170/170.pdf"></LINK>
<LINK name="TXT" url="170/170.txt"></LINK>
<LINK name="HTML" url="170/170.html"></LINK>
<LINK name="XML" url="170/170.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>C.2.4 [Computer Communication Networks]: Distributed Systems - Network Operating Systems</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Design</ITEM>
<ITEM>Experimentation</ITEM>
<ITEM>Measurement</ITEM>
<ITEM>Performance</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Wireless sensor networks</ITEM>
<ITEM>Embedded systems</ITEM>
<ITEM>Operating systems</ITEM>
<ITEM>Dynamic linking</ITEM>
<ITEM>Virtual machines</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="171">
<TITLE>SDB - A Novel Simulation-Based Debugger for Sensor Network Applications</TITLE>
<LINKS>
<LINK name="PDF" url="171/171.pdf"></LINK>
<LINK name="TXT" url="171/171.txt"></LINK>
<LINK name="HTML" url="171/171.html"></LINK>
<LINK name="XML" url="171/171.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>D.2.5 [Software Engineering] : Testing and Debugging</ITEM>
<ITEM>I.6 [Simulation and Modeling]</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Experimentation</ITEM>
<ITEM>Performance</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Sensor Network</ITEM>
<ITEM>Debugging</ITEM>
<ITEM>Simulation</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="172">
<TITLE>Scalable Data Aggregation for Dynamic Events in Sensor Networks</TITLE>
<LINKS>
<LINK name="PDF" url="172/172.pdf"></LINK>
<LINK name="TXT" url="172/172.txt"></LINK>
<LINK name="HTML" url="172/172.html"></LINK>
<LINK name="XML" url="172/172.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>C.2.1 [Computer-Communication Networks]: Network Architecture and Design - Wireless communication</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Design</ITEM>
<ITEM>Performance</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Data Aggregation</ITEM>
<ITEM>Anycasting</ITEM>
<ITEM>Structure-free</ITEM>
<ITEM>ToD</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="173">
<TITLE>Scalable Mining of Large Disk-based Graph Databases</TITLE>
<LINKS>
<LINK name="PDF" url="173/173.pdf"></LINK>
<LINK name="TXT" url="173/173.txt"></LINK>
<LINK name="HTML" url="173/173.html"></LINK>
<LINK name="XML" url="173/173.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.2.8 [Database Applications]: Data Mining</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Performances</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Graph mining</ITEM>
<ITEM>index</ITEM>
<ITEM>graph database</ITEM>
<ITEM>frequent graph pattern</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="77">
<ITEM>GRaph databases</ITEM>
<ITEM>Gspan algorithm</ITEM>
<ITEM>DFS code</ITEM>
<ITEM>ADI Index structure</ITEM>
<ITEM>Adjacency list representation</ITEM>
<ITEM>Subgraph mine</ITEM>
<ITEM>Frequent graph pattern mining</ITEM>
<ITEM>Edge table</ITEM>
<ITEM>Memory based databases</ITEM>
<ITEM>Disk bases databases</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="174">
<TITLE>Secure Access to IP Multimedia Services Using Generic Bootstrapping Architecture (GBA) for 3G and Beyond Mobile Networks</TITLE>
<LINKS>
<LINK name="PDF" url="174/174.pdf"></LINK>
<LINK name="TXT" url="174/174.txt"></LINK>
<LINK name="HTML" url="174/174.html"></LINK>
<LINK name="XML" url="174/174.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>C.2 [Computer-Communication Networks]: C.2.0 General - Security and protection; C.2.1 Network Architecture and Design; C.2.3 Network Operation.</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Management</ITEM>
<ITEM>Design</ITEM>
<ITEM>Reliability</ITEM>
<ITEM>Experimentation</ITEM>
<ITEM>Security</ITEM>
<ITEM>Standardization</ITEM>
<ITEM>Verification</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>IP Multimedia System</ITEM>
<ITEM>Generic Bootstrapping Architecture</ITEM>
<ITEM>Generic Authentication Architecture</ITEM>
<ITEM>Security and Privacy</ITEM>
<ITEM>Transport Layer Security</ITEM>
<ITEM>Authentication Proxy</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="77">
<ITEM>IP multimedia subsystem</ITEM>
<ITEM>Signalling protocols</ITEM>
<ITEM>GLMS/XDMS</ITEM>
<ITEM>General bootstrapping architecture</ITEM>
<ITEM>GBA</ITEM>
<ITEM>Network authentication function</ITEM>
<ITEM>NAF</ITEM>
<ITEM>Authentication proxy</ITEM>
<ITEM>AP</ITEM>
<ITEM>Fokus IMS Testbed</ITEM>
<ITEM>TLS Tunnel end points</ITEM>
<ITEM>Transport layer security</ITEM>
<ITEM>TLS</ITEM>
<ITEM>Diameter proxy</ITEM>
<ITEM>IMS platform</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="175">
<TITLE>Secure Hierarchical In-Network Aggregation in Sensor Networks</TITLE>
<LINKS>
<LINK name="PDF" url="175/175.pdf"></LINK>
<LINK name="TXT" url="175/175.txt"></LINK>
<LINK name="HTML" url="175/175.html"></LINK>
<LINK name="XML" url="175/175.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>C.2.0 [Computer-Communication Networks]: General—Security and Protection</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Security</ITEM>
<ITEM>Algorithms</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Secure aggregation</ITEM>
<ITEM>Sensor Networks</ITEM>
<ITEM>Data aggregation</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="78">
<ITEM>sensor network</ITEM>
<ITEM>algorithm</ITEM>
<ITEM>in-network data aggregation</ITEM>
<ITEM>secure hierarchical data aggregation protocol</ITEM>
<ITEM>query dissemination</ITEM>
<ITEM>aggregation commit</ITEM>
<ITEM>commitment tree</ITEM>
<ITEM>commitment forest</ITEM>
<ITEM>result checking</ITEM>
<ITEM>congestion complexity</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="176">
<TITLE>SensorBus: A Middleware Model for Wireless Sensor Networks</TITLE>
<LINKS>
<LINK name="PDF" url="176/176.pdf"></LINK>
<LINK name="TXT" url="176/176.txt"></LINK>
<LINK name="HTML" url="176/176.html"></LINK>
<LINK name="XML" url="176/176.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Middleware</ITEM>
<ITEM>wireless sensor networks</ITEM>
<ITEM>publish-subscribe paradigm</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="78">
<ITEM>wireless sensor network</ITEM>
<ITEM>message-oriented middleware model</ITEM>
<ITEM>environmental monitoring applications</ITEM>
<ITEM>publish-subscribe paradigm</ITEM>
<ITEM>constraint and query languages</ITEM>
<ITEM>application filters</ITEM>
<ITEM>design pattern</ITEM>
<ITEM>application service</ITEM>
<ITEM>message service</ITEM>
<ITEM>context service</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="177">
<TITLE>Seven Cardinal Properties of Sensor Network Broadcast Authentication</TITLE>
<LINKS>
<LINK name="PDF" url="177/177.pdf"></LINK>
<LINK name="TXT" url="177/177.txt"></LINK>
<LINK name="HTML" url="177/177.html"></LINK>
<LINK name="XML" url="177/177.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>C.2.0 [Computer-Communication Networks]: General– Security and protection</ITEM>
<ITEM>K.6.5 [Security and Protection]: Security and Protection – Authentication</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Security</ITEM>
<ITEM>Design</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Broadcast Authentication</ITEM>
<ITEM>Taxonomy</ITEM>
<ITEM>Sensor Network</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="178">
<TITLE>Significance of Gene Ranking for Classification of Microarray Samples</TITLE>
<LINKS>
<LINK name="PDF" url="178/178.pdf"></LINK>
<LINK name="TXT" url="178/178.txt"></LINK>
<LINK name="HTML" url="178/178.html"></LINK>
<LINK name="XML" url="178/178.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Significance of gene ranking</ITEM>
<ITEM>gene selection</ITEM>
<ITEM>classification</ITEM>
<ITEM>microarray data analysis</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="179">
<TITLE>Simplifying Flexible Isosurfaces Using Local Geometric Measures</TITLE>
<LINKS>
<LINK name="PDF" url="179/179.pdf"></LINK>
<LINK name="TXT" url="179/179.txt"></LINK>
<LINK name="HTML" url="179/179.html"></LINK>
<LINK name="XML" url="179/179.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Isosurfaces</ITEM>
<ITEM>contour trees</ITEM>
<ITEM>topological simplification</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="18">
<TITLE>A Resilient Packet-Forwarding Scheme against Maliciously Packet-Dropping Nodes in Sensor Networks</TITLE>
<LINKS>
<LINK name="PDF" url="18/18.pdf"></LINK>
<LINK name="TXT" url="18/18.txt"></LINK>
<LINK name="HTML" url="18/18.html"></LINK>
<LINK name="XML" url="18/18.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>C.2.0 [Computer-Communication Networks]: General - Security and protection</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Security</ITEM>
<ITEM>Algorithm</ITEM>
<ITEM>Reliability</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Sensor Network Security</ITEM>
<ITEM>Reliable Delivery</ITEM>
<ITEM>Packet-dropping Attacks</ITEM>
<ITEM>Secure Routing</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="4">
<ITEM>legitimate node</ITEM>
<ITEM>aggregation protocols</ITEM>
<ITEM>secure ad-hoc network routing protocol</ITEM>
<ITEM>Neighbor Watch System</ITEM>
<ITEM>malicious node</ITEM>
<ITEM>cluster key</ITEM>
<ITEM>degree of multipath</ITEM>
<ITEM>robustness</ITEM>
<ITEM>critical area</ITEM>
<ITEM>single-path forwarding</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="180">
<TITLE>SIMULATING OPTION PRICES AND SENSITIVITIES BY HIGHER RANK LATTICE RULES</TITLE>
<LINKS>
<LINK name="PDF" url="180/180.pdf"></LINK>
<LINK name="TXT" url="180/180.txt"></LINK>
<LINK name="HTML" url="180/180.html"></LINK>
<LINK name="XML" url="180/180.xml"></LINK>
</LINKS>
</DOC>
<DOC ID="181">
<TITLE>SmartCrawl: A New Strategy for the Exploration of the Hidden Web</TITLE>
<LINKS>
<LINK name="PDF" url="181/181.pdf"></LINK>
<LINK name="TXT" url="181/181.txt"></LINK>
<LINK name="HTML" url="181/181.html"></LINK>
<LINK name="XML" url="181/181.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval—Retrieval models, Search process</ITEM>
<ITEM>H.5.4 [Information Interfaces and Presentation]: Hypertext/Hypermedia—Navigation</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Hidden Web</ITEM>
<ITEM>Search Engine</ITEM>
<ITEM>Label Extraction</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="Huy">
<ITEM>web crawler</ITEM>
<ITEM>search engine</ITEM>
<ITEM>SmartCrawl</ITEM>
<ITEM>architecture</ITEM>
<ITEM>implementation</ITEM>
<ITEM>extraction algorithm</ITEM>
<ITEM>experimentation</ITEM>
<ITEM>information retrieval</ITEM>
<ITEM>hidden web content</ITEM>
<ITEM>html form</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="182">
<TITLE>Sparsha: A Comprehensive Indian Language Toolset for the Blind</TITLE>
<LINKS>
<LINK name="PDF" url="182/182.pdf"></LINK>
<LINK name="TXT" url="182/182.txt"></LINK>
<LINK name="HTML" url="182/182.html"></LINK>
<LINK name="XML" url="182/182.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>D.0 [Software] : General</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Human Factors</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Visual impairment</ITEM>
<ITEM>Braille</ITEM>
<ITEM>audio feedback</ITEM>
<ITEM>Indian languages</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="183">
<TITLE>StyleCam: Interactive Stylized 3D Navigation using Integrated Spatial and Temporal Controls</TITLE>
<LINKS>
<LINK name="PDF" url="183/183.pdf"></LINK>
<LINK name="TXT" url="183/183.txt"></LINK>
<LINK name="HTML" url="183/183.html"></LINK>
<LINK name="XML" url="183/183.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>interaction techniques</ITEM>
<ITEM>camera controls</ITEM>
<ITEM>3D navigation</ITEM>
<ITEM>3D viewers</ITEM>
<ITEM>3D visualization</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="185">
<TITLE>Tactons: Structured Tactile Messages for Non-Visual Information Display</TITLE>
<LINKS>
<LINK name="PDF" url="185/185.pdf"></LINK>
<LINK name="TXT" url="185/185.txt"></LINK>
<LINK name="HTML" url="185/185.html"></LINK>
<LINK name="XML" url="185/185.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Tactons</ITEM>
<ITEM>tactile displays</ITEM>
<ITEM>multimodal interaction</ITEM>
<ITEM>non-visual cues</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="186">
<TITLE>TCP/IP Performance over 3G Wireless Links with Rate and Delay Variation</TITLE>
<LINKS>
<LINK name="PDF" url="186/186.pdf"></LINK>
<LINK name="TXT" url="186/186.txt"></LINK>
<LINK name="HTML" url="186/186.html"></LINK>
<LINK name="XML" url="186/186.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>C.2.1 [Network Architecture and Design]: Wireless communication</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Performance</ITEM>
<ITEM>Design</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>TCP</ITEM>
<ITEM>3G Wireless</ITEM>
<ITEM>Link and Rate Variation</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="Huy">
<ITEM>Network</ITEM>
<ITEM>architecture</ITEM>
<ITEM>design</ITEM>
<ITEM>wireless communication</ITEM>
<ITEM>3G wireless links</ITEM>
<ITEM>performance evaluation</ITEM>
<ITEM>congestion solution</ITEM>
<ITEM>algorithm</ITEM>
<ITEM>prediction model</ITEM>
<ITEM>simulation result</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="188">
<TITLE>The Forest and the Trees: Using Oracle and SQL Server Together to Teach ANSI-Standard SQL</TITLE>
<LINKS>
<LINK name="PDF" url="188/188.pdf"></LINK>
<LINK name="TXT" url="188/188.txt"></LINK>
<LINK name="HTML" url="188/188.html"></LINK>
<LINK name="XML" url="188/188.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.2 [Database Management]: Query languages</ITEM>
<ITEM>H.2.3 [SQL]</ITEM>
<ITEM>H.2.4 [Microsoft SQL Server]</ITEM>
<ITEM>H.2.4 [Oracle]</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Languages</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>SQL</ITEM>
<ITEM>database</ITEM>
<ITEM>teaching in IT</ITEM>
<ITEM>training vs. education</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="Huy">
<ITEM>database systems</ITEM>
<ITEM>Oracle</ITEM>
<ITEM>SQL Server</ITEM>
<ITEM>ANSI-Standard SQL</ITEM>
<ITEM>SQL Language</ITEM>
<ITEM>educational fundamentals</ITEM>
<ITEM>course design</ITEM>
<ITEM>dual environment</ITEM>
<ITEM>practical results</ITEM>
<ITEM>student feedbacks</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="189">
<TITLE>The Maximum Entropy Method for Analyzing Retrieval Measures</TITLE>
<LINKS>
<LINK name="PDF" url="189/189.pdf"></LINK>
<LINK name="TXT" url="189/189.txt"></LINK>
<LINK name="HTML" url="189/189.html"></LINK>
<LINK name="XML" url="189/189.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.4 [Information Storage and Retrieval]: Systems and Software – Performance evaluation</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Theory</ITEM>
<ITEM>Measurement</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Evaluation</ITEM>
<ITEM>Maximum Entropy</ITEM>
<ITEM>Average Precision</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="19">
<TITLE>A Similarity Measure for Motion Stream Segmentation and Recognition</TITLE>
<LINKS>
<LINK name="PDF" url="19/19.pdf"></LINK>
<LINK name="TXT" url="19/19.txt"></LINK>
<LINK name="HTML" url="19/19.html"></LINK>
<LINK name="XML" url="19/19.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.2.8 [Database Management]: Database Applications - Data Mining</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithm</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Pattern recognition</ITEM>
<ITEM>gesture</ITEM>
<ITEM>data streams</ITEM>
<ITEM>segmentation</ITEM>
<ITEM>singular value decomposition</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>similarity measure</ITEM>
<ITEM>motion stream</ITEM>
<ITEM>segmentation</ITEM>
<ITEM>recognition</ITEM>
<ITEM>eigenvector</ITEM>
<ITEM>eigenvalue</ITEM>
<ITEM>singular value decomposition</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="190">
<TITLE>The  Model, Formalizing Topic Maps</TITLE>
<LINKS>
<LINK name="PDF" url="190/190.pdf"></LINK>
<LINK name="TXT" url="190/190.txt"></LINK>
<LINK name="HTML" url="190/190.html"></LINK>
<LINK name="XML" url="190/190.xml"></LINK>
</LINKS>
</DOC>
<DOC ID="191">
<TITLE>The Potential of the Cell Processor for Scientific Computing</TITLE>
<LINKS>
<LINK name="PDF" url="191/191.pdf"></LINK>
<LINK name="TXT" url="191/191.txt"></LINK>
<LINK name="HTML" url="191/191.html"></LINK>
<LINK name="XML" url="191/191.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>C.1.2 [Processor Architectures] : Multiple Data Stream Architectures - Single-instruction- stream, multiple-data-stream processors (SIMD)</ITEM>
<ITEM>C.1.3 [Processor Architectures] : Other Architecture Styles — Heterogeneous (hybrid) systems</ITEM>
<ITEM>C.1.4 [Processor Architectures] : Parallel Architectures</ITEM>
<ITEM>C.4 [Performance of Systems] : Design studies, modeling techniques, performance attributes</ITEM>
<ITEM>D.1.3 [Programming Techniques] : Concurrent Programming — Parallel Programming</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Performance</ITEM>
<ITEM>Design</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Cell processor</ITEM>
<ITEM>GEMM</ITEM>
<ITEM>SpMV</ITEM>
<ITEM>sparse matrix</ITEM>
<ITEM>FFT</ITEM>
<ITEM>Stencil</ITEM>
<ITEM>three level memory</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="192">
<TITLE>The Use of Mediation and Ontology Technologies for Software Component Information Retrieval</TITLE>
<LINKS>
<LINK name="PDF" url="192/192.pdf"></LINK>
<LINK name="TXT" url="192/192.txt"></LINK>
<LINK name="HTML" url="192/192.html"></LINK>
<LINK name="XML" url="192/192.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Component Repositories</ITEM>
<ITEM>Domain Engineering</ITEM>
<ITEM>Software Classification and Identification</ITEM>
<ITEM>Component Based Engineering</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="193">
<TITLE>Through Different Eyes ­ Assessing Multiple Conceptual Views for Querying Web Services</TITLE>
<LINKS>
<LINK name="PDF" url="193/193.pdf"></LINK>
<LINK name="TXT" url="193/193.txt"></LINK>
<LINK name="HTML" url="193/193.html"></LINK>
<LINK name="XML" url="193/193.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.5 [Information Storage and Retrieval]: Online Information Services– Web-based services</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Human Factors</ITEM>
<ITEM>Design</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Web services</ITEM>
<ITEM>Semantic Web</ITEM>
<ITEM>personalization</ITEM>
<ITEM>cooperative service discovery</ITEM>
<ITEM>user profiling</ITEM>
<ITEM>preference-based service provisioning</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="Chuong">
<ITEM>discovery of possible services</ITEM>
<ITEM>selection of the most useful</ITEM>
<ITEM>subsequent execution</ITEM>
<ITEM>Universal Description Discovery and Integration</ITEM>
<ITEM>Web Service Definition Language</ITEM>
<ITEM>generalization hierarchy of concepts</ITEM>
<ITEM>Domain-specific understanding of concepts</ITEM>
<ITEM>Tree-shaped clipping of ontologies</ITEM>
<ITEM>ontology resembles common knowledge</ITEM>
<ITEM>Relaxing multiple ontologies</ITEM>
<ITEM>The generalization throughout ontologies</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="194">
<TITLE>Topic Modeling in Fringe Word Prediction for AAC</TITLE>
<LINKS>
<LINK name="PDF" url="194/194.pdf"></LINK>
<LINK name="TXT" url="194/194.txt"></LINK>
<LINK name="HTML" url="194/194.html"></LINK>
<LINK name="XML" url="194/194.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>I.7.m Document and Text Processing: Miscellaneous</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Word prediction</ITEM>
<ITEM>topic modeling</ITEM>
<ITEM>language modeling</ITEM>
<ITEM>AAC</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="Chuong">
<ITEM>fringe vocabulary</ITEM>
<ITEM>core vocabulary</ITEM>
<ITEM>communication rate</ITEM>
<ITEM>accuracy of prediction method</ITEM>
<ITEM>language modeling</ITEM>
<ITEM>prediction window size</ITEM>
<ITEM>immediate prediction</ITEM>
<ITEM>prediction of fringe words</ITEM>
<ITEM>conversations in the Switchboard corpus</ITEM>
<ITEM>construct a new language model</ITEM>
<ITEM>identify current topic of conversation</ITEM>
<ITEM>increase probability of related words</ITEM>
<ITEM>decrease probability of unrelated words</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="195">
<TITLE>Topic Transition Detection Using Hierarchical Hidden Markov and Semi-Markov Models</TITLE>
<LINKS>
<LINK name="PDF" url="195/195.pdf"></LINK>
<LINK name="TXT" url="195/195.txt"></LINK>
<LINK name="HTML" url="195/195.html"></LINK>
<LINK name="XML" url="195/195.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.1 [Information Storage and Retrieval]: Content Analysis and Indexing</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Management</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Topic Transition Detection</ITEM>
<ITEM>Hierarchical Markov (Semi-Markov) Models</ITEM>
<ITEM>Coxian</ITEM>
<ITEM>Educational Videos</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="Chuong">
<ITEM>extended Hierarchical Hidden Markov Model</ITEM>
<ITEM>Coxian Switching Hidden semi-Markov Model</ITEM>
<ITEM>A variety in directional styles</ITEM>
<ITEM>semantic relationship of neighborhood scenes</ITEM>
<ITEM>their semantically shared substructures</ITEM>
<ITEM>typical durations of important semantics</ITEM>
<ITEM>domain knowledge</ITEM>
<ITEM>natural hierarchical organization of videos</ITEM>
<ITEM>model educational video content</ITEM>
<ITEM>unified and coherent probabilistic framework</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="Nam">
<ITEM>topic transition detection</ITEM>
<ITEM>hierarchical hidden markov model</ITEM>
<ITEM>coxian switching hidden semi-markov model</ITEM>
<ITEM>probabilistic framework</ITEM>
<ITEM>modeling temporal correlation</ITEM>
<ITEM>shot-based semantic classification</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="197">
<TITLE>Towards Content-Based Relevance Ranking for Video Search</TITLE>
<LINKS>
<LINK name="PDF" url="197/197.pdf"></LINK>
<LINK name="TXT" url="197/197.txt"></LINK>
<LINK name="HTML" url="197/197.html"></LINK>
<LINK name="XML" url="197/197.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval - Search process</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Performance</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Video search</ITEM>
<ITEM>Relevance ranking</ITEM>
<ITEM>Content-based ranking</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="Bang">
<ITEM>video search</ITEM>
<ITEM>metadata</ITEM>
<ITEM>content information</ITEM>
<ITEM>video retrieval</ITEM>
<ITEM>machine learning model</ITEM>
<ITEM>ranking method</ITEM>
<ITEM>content-based approach</ITEM>
<ITEM>IR-model</ITEM>
<ITEM>segmented</ITEM>
<ITEM>integrated ranking</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="Nam">
<ITEM>video search</ITEM>
<ITEM>content-based relevance ranking</ITEM>
<ITEM>video index, relevance ranking</ITEM>
<ITEM>video metadata</ITEM>
<ITEM>IR model based ranking</ITEM>
<ITEM>neutral network based ranking</ITEM>
<ITEM>learning based ranking</ITEM>
<ITEM>video segmentation</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="198">
<TITLE>Towards Reasonability Properties for Access-Control Policy Languages</TITLE>
<LINKS>
<LINK name="PDF" url="198/198.pdf"></LINK>
<LINK name="TXT" url="198/198.txt"></LINK>
<LINK name="HTML" url="198/198.html"></LINK>
<LINK name="XML" url="198/198.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>D.4.6 [Operating Systems]: Security and Protection—Access Controls</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Languages</ITEM>
<ITEM>Security</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Access control</ITEM>
<ITEM>policy</ITEM>
<ITEM>modularity</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="Bang">
<ITEM>access control</ITEM>
<ITEM>properties</ITEM>
<ITEM>formalize</ITEM>
<ITEM>policy</ITEM>
<ITEM>policy language</ITEM>
<ITEM>xacml</ITEM>
<ITEM>first order logic</ITEM>
<ITEM>lithium</ITEM>
<ITEM>common features</ITEM>
<ITEM>security</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="Nam">
<ITEM>access-control policy</ITEM>
<ITEM>reasonability property</ITEM>
<ITEM>policy decomposition</ITEM>
<ITEM>multiple policy language</ITEM>
<ITEM>comtemporary policy</ITEM>
<ITEM>policy languague</ITEM>
<ITEM>policy combinator</ITEM>
<ITEM>policy language property</ITEM>
<ITEM>XACML </ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="199">
<TITLE>Tracking Dynamics of Topic Trends Using a Finite Mixture Model</TITLE>
<LINKS>
<LINK name="PDF" url="199/199.pdf"></LINK>
<LINK name="TXT" url="199/199.txt"></LINK>
<LINK name="HTML" url="199/199.html"></LINK>
<LINK name="XML" url="199/199.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.2.8 [Database Management]: Database Applications - Data Mining</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<AUTHOR_KEYWORDS>
<ITEM>topic analysis</ITEM>
<ITEM>model selection</ITEM>
<ITEM>CRM</ITEM>
<ITEM>text mining</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="Cuong">
<ITEM>text data streams</ITEM>
<ITEM>Topic Structure Identification</ITEM>
<ITEM>Topic Emergence Detection</ITEM>
<ITEM>Topic Characterization</ITEM>
<ITEM>time-stamp based learning algorithm</ITEM>
<ITEM>topic trends</ITEM>
<ITEM>Data Mining</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="Nam">
<ITEM>tracking dynamics</ITEM>
<ITEM>topic trend</ITEM>
<ITEM>topic analysis</ITEM>
<ITEM>topic structure identification</ITEM>
<ITEM>topic emergence detection</ITEM>
<ITEM>topic characterization</ITEM>
<ITEM>time-stamp based discounting learning algorithm</ITEM>
<ITEM>dynamic model selection</ITEM>
<ITEM>topic detection and tracking</ITEM>
<ITEM>finite mixture model</ITEM>
<ITEM>information gain</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="2">
<TITLE>A Case Study on How to Manage the Theft of Information</TITLE>
<LINKS>
<LINK name="PDF" url="2/2.pdf"></LINK>
<LINK name="TXT" url="2/2.txt"></LINK>
<LINK name="HTML" url="2/2.html"></LINK>
<LINK name="XML" url="2/2.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>C.2.0 [Computer-Communication Networks] General - Security and protection</ITEM>
<ITEM>K.3.2 [Computers And Education] – Computer and Information Science Education – Curriculum, Information systems education.</ITEM>
<ITEM>K.4.1, .2, .4 [Computers and Society] - .1 Public Policy Issues – Abuse and crime involving computers, Computer-related health issues, Ethics, Intellectual property right, Privacy. .2 Social Issues – Abuse and crime involving computers. .4 Electronic Commerce – Security.</ITEM>
<ITEM>K.6.5 [Management of Computing and Information Systems] – Security and Protection – Authentication, Invasive software, unauthorized access. </ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Management</ITEM>
<ITEM>Security</ITEM>
<ITEM>Human Factors</ITEM>
<ITEM>Standardization</ITEM>
<ITEM>Legal Aspects</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Information Security</ITEM>
<ITEM>Security Management</ITEM>
<ITEM>Information Security Management</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>theft of information</ITEM>
<ITEM>security breach</ITEM>
<ITEM>management issue</ITEM>
<ITEM>information system</ITEM>
<ITEM>cyber crime</ITEM>
<ITEM>encryption</ITEM>
<ITEM>personal information</ITEM>
<ITEM>risk analysis</ITEM>
<ITEM>confidential information</ITEM>
<ITEM>information security</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="6">
<ITEM>theft of information</ITEM>
<ITEM>security breach</ITEM>
<ITEM>privacy</ITEM>
<ITEM>business practises and policy</ITEM>
<ITEM>risk analysis</ITEM>
<ITEM>data protection</ITEM>
<ITEM>cases of information theft</ITEM>
<ITEM>incident response plan</ITEM>
<ITEM>human factor</ITEM>
<ITEM>data protection procedure</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="20">
<TITLE>A Survey of Collaborative Information Seeking Practices of Academic Researchers</TITLE>
<LINKS>
<LINK name="PDF" url="20/20.pdf"></LINK>
<LINK name="TXT" url="20/20.txt"></LINK>
<LINK name="HTML" url="20/20.html"></LINK>
<LINK name="XML" url="20/20.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>Human FactorsH.3.3 Information search and retrieval</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Human Factors</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Collaborative Information Seeking</ITEM>
<ITEM>Group Work</ITEM>
<ITEM>Academic Researchers</ITEM>
<ITEM>Survey</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>collaboration</ITEM>
<ITEM>information seeking</ITEM>
<ITEM>communication media</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="200">
<TITLE>Transactional Agent Model for Fault-Tolerant Object Systems</TITLE>
<LINKS>
<LINK name="PDF" url="200/200.pdf"></LINK>
<LINK name="TXT" url="200/200.txt"></LINK>
<LINK name="HTML" url="200/200.html"></LINK>
<LINK name="XML" url="200/200.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.2.4 [Systems]: Transaction processing</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Reliability</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Mobile agent</ITEM>
<ITEM>Transaction</ITEM>
<ITEM>Fault-Tolerant</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="Nam">
<ITEM>transactional agent</ITEM>
<ITEM>mobile agent</ITEM>
<ITEM>transaction processing</ITEM>
<ITEM>ACID transaction</ITEM>
<ITEM>surrogate agent</ITEM>
<ITEM>fault-tolerant agent</ITEM>
<ITEM>fault-tolerant</ITEM>
<ITEM>computer fault</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="201">
<TITLE>Translating Unknown Cross-Lingual Queries in Digital Libraries Using a Web-based Approach</TITLE>
<LINKS>
<LINK name="PDF" url="201/201.pdf"></LINK>
<LINK name="TXT" url="201/201.txt"></LINK>
<LINK name="HTML" url="201/201.html"></LINK>
<LINK name="XML" url="201/201.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval</ITEM>
<ITEM>H.3.7 [Information Storage and Retrieval]: Digital Libraries.</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Experimentation</ITEM>
<ITEM>Performance</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Cross-Language Information Retrieval</ITEM>
<ITEM>Digital Library</ITEM>
<ITEM>Term Extraction</ITEM>
<ITEM>Term Translation</ITEM>
<ITEM>Web Mining</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="Cuong">
<ITEM>Unknown Cross-Lingual Queries</ITEM>
<ITEM>Digital Libraries</ITEM>
<ITEM>translation dictionary</ITEM>
<ITEM>Web-based term translation approach</ITEM>
<ITEM>Information Search and Retrieval</ITEM>
<ITEM>CLIR services</ITEM>
<ITEM>PAT-Tree Based Local Maxima Algorithm</ITEM>
<ITEM>Term Extraction</ITEM>
<ITEM>Context Vector Analysis</ITEM>
<ITEM>BILINGUAL LEXICON CONSTRUCTION </ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="202">
<TITLE>TypeCase: A Design Pattern for Type-Indexed Functions</TITLE>
<LINKS>
<LINK name="PDF" url="202/202.pdf"></LINK>
<LINK name="TXT" url="202/202.txt"></LINK>
<LINK name="HTML" url="202/202.html"></LINK>
<LINK name="XML" url="202/202.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>D.3.3 [Programming Languages]: Language Constructs and Features</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Languages</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Generic programming</ITEM>
<ITEM>type classes</ITEM>
<ITEM>type-indexed functions</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="203">
<TITLE>UML-Based Service Robot Software Development: A Case Study</TITLE>
<LINKS>
<LINK name="PDF" url="203/203.pdf"></LINK>
<LINK name="TXT" url="203/203.txt"></LINK>
<LINK name="HTML" url="203/203.html"></LINK>
<LINK name="XML" url="203/203.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>D.2.2 [Software Engineering]: Design Tools and Techniques – object-oriented design methods</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Design</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Software engineering</ITEM>
<ITEM>object-oriented analysis and design methods</ITEM>
<ITEM>service robot development</ITEM>
<ITEM>UML</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="204">
<TITLE>Unified Utility Maximization Framework for Resource Selection</TITLE>
<LINKS>
<LINK name="PDF" url="204/204.pdf"></LINK>
<LINK name="TXT" url="204/204.txt"></LINK>
<LINK name="HTML" url="204/204.html"></LINK>
<LINK name="XML" url="204/204.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.3 [Information Search and Retrieval]</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>distributed information retrieval</ITEM>
<ITEM>resource selection</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="205">
<TITLE>Unwanted Traffic in 3G Networks</TITLE>
<LINKS>
<LINK name="PDF" url="205/205.pdf"></LINK>
<LINK name="TXT" url="205/205.txt"></LINK>
<LINK name="HTML" url="205/205.html"></LINK>
<LINK name="XML" url="205/205.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>C.2.3 [Network Operations]: Public networks, Network monitoring</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Security</ITEM>
<ITEM>Reliability</ITEM>
<ITEM>Measurement</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Cellular networks</ITEM>
<ITEM>3G</ITEM>
<ITEM>Unwanted traffic</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="206">
<TITLE>Use of Contextualized Attention Metadata for Ranking and Recommending Learning Objects</TITLE>
<LINKS>
<LINK name="PDF" url="206/206.pdf"></LINK>
<LINK name="TXT" url="206/206.txt"></LINK>
<LINK name="HTML" url="206/206.html"></LINK>
<LINK name="XML" url="206/206.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval – information filtering, relevance feedback</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Measurement</ITEM>
<ITEM>Design</ITEM>
<ITEM>Human Factors</ITEM>
<ITEM>Standardization</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Learning Objects</ITEM>
<ITEM>Ranking</ITEM>
<ITEM>Recommending</ITEM>
<ITEM>Attention Metadata</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="207">
<TITLE>Use of Relative Code Churn Measures to Predict System Defect Density</TITLE>
<LINKS>
<LINK name="PDF" url="207/207.pdf"></LINK>
<LINK name="TXT" url="207/207.txt"></LINK>
<LINK name="HTML" url="207/207.html"></LINK>
<LINK name="XML" url="207/207.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>D.2.7 [Software Engineering]: Distribution, Maintenance, and Enhancement – Version control</ITEM>
<ITEM>D.2.8 [Software Engineering]: Metrics - Performance measures, Process metrics, Product metrics</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Measurement</ITEM>
<ITEM>Design</ITEM>
<ITEM>Reliability</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Relative code churn</ITEM>
<ITEM>defect density</ITEM>
<ITEM>fault-proneness</ITEM>
<ITEM>multiple regression</ITEM>
<ITEM>principal component analysis</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="208">
<TITLE>Using Case-Based Reasoning in Traffic Pattern Recognition for Best Resource Management in 3G Networks</TITLE>
<LINKS>
<LINK name="PDF" url="208/208.pdf"></LINK>
<LINK name="TXT" url="208/208.txt"></LINK>
<LINK name="HTML" url="208/208.html"></LINK>
<LINK name="XML" url="208/208.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>C.2.3 [Computer-Communication Networks]: Network Operations - network management, network monitoring</ITEM>
<ITEM>I.6.6 [Simulation and Modeling]: Simulation Output Analysis</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Management</ITEM>
<ITEM>Performance</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>3G Resource Management</ITEM>
<ITEM>Service Level Agreement</ITEM>
<ITEM>Intelligent agent and Case-based reasoning</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="209">
<TITLE>Using Roles and Business Objects to Model and Understand Business Processes</TITLE>
<LINKS>
<LINK name="PDF" url="209/209.pdf"></LINK>
<LINK name="TXT" url="209/209.txt"></LINK>
<LINK name="HTML" url="209/209.html"></LINK>
<LINK name="XML" url="209/209.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>D.2.9 [Management]: Software Process Models</ITEM>
<ITEM>D.2.10 [Design]: Methodologies</ITEM>
<ITEM>H.1.0 [Models and Principles]: General</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<AUTHOR_KEYWORDS>
<ITEM>Business Process Modeling</ITEM>
<ITEM>Role Modeling</ITEM>
<ITEM>Business Object</ITEM>
<ITEM>Organizational Engineering</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="21">
<TITLE>A Taxonomy of Ambient Information Systems: Four Patterns of Design</TITLE>
<LINKS>
<LINK name="PDF" url="21/21.pdf"></LINK>
<LINK name="TXT" url="21/21.txt"></LINK>
<LINK name="HTML" url="21/21.html"></LINK>
<LINK name="XML" url="21/21.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>Visual Interface Design</ITEM>
<ITEM>Tangible Interfaces</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<AUTHOR_KEYWORDS>
<ITEM>Ubiquitous Computing</ITEM>
<ITEM>Ambient Display</ITEM>
<ITEM>Peripheral Display</ITEM>
<ITEM>Notification System</ITEM>
<ITEM>Taxonomy</ITEM>
<ITEM>Design Guidelines</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="6">
<ITEM>ambient information system</ITEM>
<ITEM>four main design patterns</ITEM>
<ITEM>framework to understand design attributes</ITEM>
<ITEM>user interface</ITEM>
<ITEM>calm computing</ITEM>
<ITEM>definition and characteristics of ambient systems</ITEM>
<ITEM>symbolic Sculptural display</ITEM>
<ITEM>multiple-information consolidators</ITEM>
<ITEM>information monitor display</ITEM>
<ITEM>high throughput textual display</ITEM>
<ITEM>notification systems and peripheral displays</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="210">
<TITLE>Using Web Helper Agent Profiles in Query Generation</TITLE>
<LINKS>
<LINK name="PDF" url="210/210.pdf"></LINK>
<LINK name="TXT" url="210/210.txt"></LINK>
<LINK name="HTML" url="210/210.html"></LINK>
<LINK name="XML" url="210/210.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.3 [Information storage and retrieval]: Information Search and Retrieval—Query formulation, Search process,Information filtering</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<AUTHOR_KEYWORDS>
<ITEM>information agents</ITEM>
<ITEM>user modeling</ITEM>
<ITEM>query generation</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="211">
<TITLE>Very Low Complexity MPEG-2 to H.264 Transcoding Using Machine Learning</TITLE>
<LINKS>
<LINK name="PDF" url="211/211.pdf"></LINK>
<LINK name="TXT" url="211/211.txt"></LINK>
<LINK name="HTML" url="211/211.html"></LINK>
<LINK name="XML" url="211/211.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>I.4.2 [Image Processing and Computer Vision]: Compression (Coding) – Approximate methods</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Performance</ITEM>
<ITEM>Design</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>H.264</ITEM>
<ITEM>MPEG-2</ITEM>
<ITEM>Transcoding</ITEM>
<ITEM>Inter-frame</ITEM>
<ITEM>Machine Learning</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="212">
<TITLE>Video-Streaming for Fast Moving Users in 3G Mobile Networks</TITLE>
<LINKS>
<LINK name="PDF" url="212/212.pdf"></LINK>
<LINK name="TXT" url="212/212.txt"></LINK>
<LINK name="HTML" url="212/212.html"></LINK>
<LINK name="XML" url="212/212.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.4 [Systems and Software]: Information networks</ITEM>
<ITEM>H.3.5 [Online Information Services]: Data sharing</ITEM>
<ITEM>C.2.4 [Distributed Systems]: Distributed applications</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Design</ITEM>
<ITEM>Performance</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Streaming for moving users</ITEM>
<ITEM>mobile multimedia services</ITEM>
<ITEM>rate adaptation</ITEM>
<ITEM>real-time streaming</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="213">
<TITLE>Web Taxonomy Integration through Co-Bootstrapping</TITLE>
<LINKS>
<LINK name="PDF" url="213/213.pdf"></LINK>
<LINK name="TXT" url="213/213.txt"></LINK>
<LINK name="HTML" url="213/213.html"></LINK>
<LINK name="XML" url="213/213.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.2.8 [Database Management]: Database Applications – data mining</ITEM>
<ITEM>H.2.5 [Database Management]: Heterogeneous Databases</ITEM>
<ITEM>I.2.6 [Artificial Intelligence]: Learning</ITEM>
<ITEM>I.5.2 [Pattern Recognition]: Design Methodology – classifier design and evaluation</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Experimentation</ITEM>
<ITEM>Theory</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Semantic Web</ITEM>
<ITEM>Ontology Mapping</ITEM>
<ITEM>Taxonomy Integration</ITEM>
<ITEM>Machine Learning</ITEM>
<ITEM>Classification</ITEM>
<ITEM>Bootstrapping</ITEM>
<ITEM>Boosting</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="214">
<TITLE>WebKhoj: Indian language IR from Multiple Character Encodings</TITLE>
<LINKS>
<LINK name="PDF" url="214/214.pdf"></LINK>
<LINK name="TXT" url="214/214.txt"></LINK>
<LINK name="HTML" url="214/214.html"></LINK>
<LINK name="XML" url="214/214.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.3 [Information Search and Retrieval]: Information filtering, Selection process</ITEM>
<ITEM>H.3.1 [Content Analysis and Indexing]: Linguistic processing</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Standardization</ITEM>
<ITEM>Languages</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Indian languages</ITEM>
<ITEM>web search</ITEM>
<ITEM>non-standard encodings</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="215">
<TITLE>What's There and What's Not? Focused Crawling for Missing Documents in Digital Libraries</TITLE>
<LINKS>
<LINK name="PDF" url="215/215.pdf"></LINK>
<LINK name="TXT" url="215/215.txt"></LINK>
<LINK name="HTML" url="215/215.html"></LINK>
<LINK name="XML" url="215/215.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.7 [Information Systems]: Information Storage and Retrieval – Digital Libraries</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Performance</ITEM>
<ITEM>Design</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Digital libraries</ITEM>
<ITEM>focused crawler</ITEM>
<ITEM>CiteSeer</ITEM>
<ITEM>DBLP</ITEM>
<ITEM>ACM</ITEM>
<ITEM>harvesting</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="22">
<TITLE>A Two-Phase Sampling Technique for Information Extraction from Hidden Web Databases</TITLE>
<LINKS>
<LINK name="PDF" url="22/22.pdf"></LINK>
<LINK name="TXT" url="22/22.txt"></LINK>
<LINK name="HTML" url="22/22.html"></LINK>
<LINK name="XML" url="22/22.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.5 [Information Storage and Retrieval]: Online Information Services – Web-based services</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Hidden Web Databases</ITEM>
<ITEM>Document Sampling</ITEM>
<ITEM>Information Extraction</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="6">
<ITEM>information extraction</ITEM>
<ITEM>hidden web databases</ITEM>
<ITEM>2-phase sampling technique</ITEM>
<ITEM>query-based sampling</ITEM>
<ITEM>string matching techniques</ITEM>
<ITEM>irrelavant information extraction</ITEM>
<ITEM>web page templates</ITEM>
<ITEM>neighbouring adjacent tag segments</ITEM>
<ITEM>hypertext markup langauges</ITEM>
<ITEM>search interface pages</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="23">
<TITLE>A Unified Approach for Improving QoS and Provider Revenue in 3G Mobile Networks</TITLE>
<LINKS>
<LINK name="PDF" url="23/23.pdf"></LINK>
<LINK name="TXT" url="23/23.txt"></LINK>
<LINK name="HTML" url="23/23.html"></LINK>
<LINK name="XML" url="23/23.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>performance evaluation of next generation mobile systems</ITEM>
<ITEM>Quality of Service in mobile systems</ITEM>
<ITEM>admission control in mobile system</ITEM>
<ITEM>pricing and revenue optimization</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>QoS</ITEM>
<ITEM>packet loss probability</ITEM>
<ITEM>adaptive performance management</ITEM>
<ITEM>pricing policy</ITEM>
<ITEM>3G mobile networks</ITEM>
<ITEM>provider revenue</ITEM>
<ITEM>admission control</ITEM>
<ITEM>packet scheduler</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="24">
<TITLE>A WEIGHTED RANKING ALGORITHM FOR FACET-BASED COMPONENT RETRIEVAL SYSTEM</TITLE>
<LINKS>
<LINK name="PDF" url="24/24.pdf"></LINK>
<LINK name="TXT" url="24/24.txt"></LINK>
<LINK name="HTML" url="24/24.html"></LINK>
<LINK name="XML" url="24/24.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Weighted ranking algorithm</ITEM>
<ITEM>matching degree</ITEM>
<ITEM>facet</ITEM>
<ITEM>component retrieval</ITEM>
<ITEM>and component library</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>ranking algorithm</ITEM>
<ITEM>facet-based component retrieval</ITEM>
<ITEM>component library</ITEM>
<ITEM>retrieval system</ITEM>
<ITEM>component rank</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="25">
<TITLE>Accelerated Focused Crawling through Online Relevance Feedback</TITLE>
<LINKS>
<LINK name="PDF" url="25/25.pdf"></LINK>
<LINK name="TXT" url="25/25.txt"></LINK>
<LINK name="HTML" url="25/25.html"></LINK>
<LINK name="XML" url="25/25.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.5.4 [Information interfaces and presentation]: Hypertext/hypermedia</ITEM>
<ITEM>I.5.4 [Pattern recognition]: Applications, Text processing</ITEM>
<ITEM>I.2.6 [Artificial intelligence]: Learning</ITEM>
<ITEM>I.2.8 [Artificial intelligence]: Problem Solving, Control Methods, and Search</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>performance</ITEM>
<ITEM>measurements</ITEM>
<ITEM>experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Focused crawling</ITEM>
<ITEM>Document object model</ITEM>
<ITEM>Reinforcement learning</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>focused crawlers</ITEM>
<ITEM>HREF link</ITEM>
<ITEM>URLs</ITEM>
<ITEM>classifiers</ITEM>
<ITEM>taxonomy</ITEM>
<ITEM>DOM</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="26">
<TITLE>Accelerating 3D Convolution using Graphics Hardware</TITLE>
<LINKS>
<LINK name="PDF" url="26/26.pdf"></LINK>
<LINK name="TXT" url="26/26.txt"></LINK>
<LINK name="HTML" url="26/26.html"></LINK>
<LINK name="XML" url="26/26.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Convolution</ITEM>
<ITEM>Hardware Acceleration</ITEM>
<ITEM>Volume Visualization</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>3D convolution</ITEM>
<ITEM>filtering</ITEM>
<ITEM>visualization</ITEM>
<ITEM>volume rendering</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="27">
<TITLE>Agent Technology for Personalized Information Filtering: The PIA-System</TITLE>
<LINKS>
<LINK name="PDF" url="27/27.pdf"></LINK>
<LINK name="TXT" url="27/27.txt"></LINK>
<LINK name="HTML" url="27/27.html"></LINK>
<LINK name="XML" url="27/27.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>[Information Systems]: Information Systems Applications - general, Communications Applications</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Management</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Intelligent and personalized filtering</ITEM>
<ITEM>Ubiquitous access</ITEM>
<ITEM>Recommendation systems</ITEM>
<ITEM>Agents and complex systems</ITEM>
<ITEM>Agent-based deployed applications</ITEM>
<ITEM>Evolution</ITEM>
<ITEM>Adaptation and Learning</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>agent technology</ITEM>
<ITEM>personal information agent</ITEM>
<ITEM>filtering</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="28">
<TITLE>An Adaptive Information Retrieval System based on Associative Networks</TITLE>
<LINKS>
<LINK name="PDF" url="28/28.pdf"></LINK>
<LINK name="TXT" url="28/28.txt"></LINK>
<LINK name="HTML" url="28/28.html"></LINK>
<LINK name="XML" url="28/28.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>knowledge representation</ITEM>
<ITEM>associative networks</ITEM>
<ITEM>constrained spreading activation</ITEM>
<ITEM>natural language information retrieval</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>multilingual information retrieval system</ITEM>
<ITEM>associative networks</ITEM>
<ITEM>natural language query</ITEM>
<ITEM>query expansion</ITEM>
<ITEM>spreading activation</ITEM>
<ITEM>knowledge representation model</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="29">
<TITLE>An Analytical Model Based on G/M/1 with Self-Similar Input to Provide End-to-End QoS in 3G Networks</TITLE>
<LINKS>
<LINK name="PDF" url="29/29.pdf"></LINK>
<LINK name="TXT" url="29/29.txt"></LINK>
<LINK name="HTML" url="29/29.html"></LINK>
<LINK name="XML" url="29/29.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>C.2.3. [Computer Communication Networks]: Network Management</ITEM>
<ITEM>G.3. [Mathematics of Computing]: Queueing Theory, Markov Processes</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Theory</ITEM>
<ITEM>Design</ITEM>
<ITEM>Performance</ITEM>
<ITEM>Reliability</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>QoS</ITEM>
<ITEM>3G</ITEM>
<ITEM>UMTS</ITEM>
<ITEM>GGSN</ITEM>
<ITEM>Self-Similar</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>QoS</ITEM>
<ITEM>traffic modelling</ITEM>
<ITEM>wireless IP traffic</ITEM>
<ITEM>self-similar traffic</ITEM>
<ITEM>3G networks</ITEM>
<ITEM>queuing model</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="3">
<TITLE>A Computational Approach to Reflective Meta-Reasoning about Languages with Bindings</TITLE>
<LINKS>
<LINK name="PDF" url="3/3.pdf"></LINK>
<LINK name="TXT" url="3/3.txt"></LINK>
<LINK name="HTML" url="3/3.html"></LINK>
<LINK name="XML" url="3/3.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>D.3.1 [Programming Languages]: Formal Definitions and Theory—Syntax</ITEM>
<ITEM>F.4.3 [Mathematical Logic and Formal Languages]: Formal Languages - Operations on languages</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Languages</ITEM>
<ITEM>Theory</ITEM>
<ITEM>Verification</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Higher-Order Abstract Syntax</ITEM>
<ITEM>Reflection</ITEM>
<ITEM>Type Theory</ITEM>
<ITEM>MetaPRL</ITEM>
<ITEM>NuPRL</ITEM>
<ITEM>Programming Language Experimentation</ITEM>
<ITEM>Languages with Bindings</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>Languages with bindings</ITEM>
<ITEM>High order abstract syntax</ITEM>
<ITEM>Reflection</ITEM>
<ITEM>Meta-language</ITEM>
<ITEM>MetaPRL</ITEM>
<ITEM>Runtime code generation</ITEM>
<ITEM>Meta-reasoning</ITEM>
<ITEM>Uniform reflection framework</ITEM>
<ITEM>Theorem prover</ITEM>
<ITEM>Substitution</ITEM>
<ITEM>Meta-syntax</ITEM>
<ITEM>Recursive definition</ITEM>
<ITEM>Theory of syntax</ITEM>
<ITEM>Reflective reasoning</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="12">
<ITEM>computer aided reasoning</ITEM>
<ITEM>programming language</ITEM>
<ITEM>formal definition and theory</ITEM>
<ITEM>higher-order abstract syntax</ITEM>
<ITEM>system reflection</ITEM>
<ITEM>uniform reflection framework</ITEM>
<ITEM>HOAS-style operations</ITEM>
<ITEM>Bruijn-style operations</ITEM>
<ITEM>formal languages</ITEM>
<ITEM>MetaPRL theorem prover</ITEM>
<ITEM>NuPRL-like Martin-Lof-style computational type theory	</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="30">
<TITLE>An Architectural Style for High-Performance Asymmetrical Parallel Computations</TITLE>
<LINKS>
<LINK name="PDF" url="30/30.pdf"></LINK>
<LINK name="TXT" url="30/30.txt"></LINK>
<LINK name="HTML" url="30/30.html"></LINK>
<LINK name="XML" url="30/30.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>D.2.11 [Software Engineering]: Software Architectures</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Design</ITEM>
<ITEM>Performance</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>High-Performance Computing</ITEM>
<ITEM>Asymmetrical Parallel Computations</ITEM>
<ITEM>ADaPT</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>asymamtrical parallel computations</ITEM>
<ITEM>ADaPT</ITEM>
<ITEM>load balancing</ITEM>
<ITEM>communication protocols</ITEM>
<ITEM>MPI</ITEM>
<ITEM>collective calls</ITEM>
<ITEM>software engineering</ITEM>
<ITEM>high-performance computing</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="31">
<TITLE>An empirical comparison of supervised machine learning techniques in bioinformatics</TITLE>
<LINKS>
<LINK name="PDF" url="31/31.pdf"></LINK>
<LINK name="TXT" url="31/31.txt"></LINK>
<LINK name="HTML" url="31/31.html"></LINK>
<LINK name="XML" url="31/31.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Supervised machine learning</ITEM>
<ITEM>bioinformatics</ITEM>
<ITEM>ensemble methods</ITEM>
<ITEM>performance evaluation</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>machine learning</ITEM>
<ITEM>bioinformatics</ITEM>
<ITEM>biological data</ITEM>
<ITEM>classification</ITEM>
<ITEM>cross validation</ITEM>
<ITEM>training data</ITEM>
<ITEM>supervised machine learning</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="32">
<TITLE>An expressive aspect language for system applications with Arachne</TITLE>
<LINKS>
<LINK name="PDF" url="32/32.pdf"></LINK>
<LINK name="TXT" url="32/32.txt"></LINK>
<LINK name="HTML" url="32/32.html"></LINK>
<LINK name="XML" url="32/32.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>aspect language</ITEM>
<ITEM>sequence pointcut</ITEM>
<ITEM>dynamic weaving</ITEM>
<ITEM>system applications</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>aspect language</ITEM>
<ITEM>C applications</ITEM>
<ITEM>dynamic weaving</ITEM>
<ITEM>network protocol</ITEM>
<ITEM>web cache</ITEM>
<ITEM>buffer overflows</ITEM>
<ITEM>prefetching</ITEM>
<ITEM>binary code</ITEM>
<ITEM>operating system</ITEM>
<ITEM>Arachne</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="33">
<TITLE>An Index System for Quality Synthesis Evaluation of BtoC Business Website</TITLE>
<LINKS>
<LINK name="PDF" url="33/33.pdf"></LINK>
<LINK name="TXT" url="33/33.txt"></LINK>
<LINK name="HTML" url="33/33.html"></LINK>
<LINK name="XML" url="33/33.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Business website</ITEM>
<ITEM>Evaluation system</ITEM>
<ITEM>R-Hierarchical clustering</ITEM>
<ITEM>System performance</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="12">
<ITEM>e-commerce</ITEM>
<ITEM>quality synthesis evaluation</ITEM>
<ITEM>quality evaluation index</ITEM>
<ITEM>R-Hierarchical clustering method</ITEM>
<ITEM>index optimization</ITEM>
<ITEM>clustering</ITEM>
<ITEM>correlation index</ITEM>
<ITEM>representitive indexes</ITEM>
<ITEM>B2C websites</ITEM>
<ITEM>fuzzy analysis</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="34">
<TITLE>An Integrated Environment to Visually Construct 3D Animations</TITLE>
<LINKS>
<LINK name="PDF" url="34/34.pdf"></LINK>
<LINK name="TXT" url="34/34.txt"></LINK>
<LINK name="HTML" url="34/34.html"></LINK>
<LINK name="XML" url="34/34.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>3D Interaction</ITEM>
<ITEM>3D Widgets</ITEM>
<ITEM>Virtual Tools</ITEM>
<ITEM>3D Animation</ITEM>
<ITEM>Local Propagation Constraints</ITEM>
<ITEM>Data Reduction</ITEM>
<ITEM>Object-Oriented Graphics</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="12">
<ITEM>computer graphics</ITEM>
<ITEM>3d animation environment</ITEM>
<ITEM>multi-way constrained architecture</ITEM>
<ITEM>recording 3d manipulation</ITEM>
<ITEM>animation synchronization</ITEM>
<ITEM>visualization</ITEM>
<ITEM>dynamic model</ITEM>
<ITEM>human interaction</ITEM>
<ITEM>3d user interface</ITEM>
<ITEM>data reduction</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="35">
<TITLE>An Intensional Approach to the Specification of Test Cases for Database Applications</TITLE>
<LINKS>
<LINK name="PDF" url="35/35.pdf"></LINK>
<LINK name="TXT" url="35/35.txt"></LINK>
<LINK name="HTML" url="35/35.html"></LINK>
<LINK name="XML" url="35/35.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>D.2.5 [Software Engineering]: Testing and Debugging - Testing tools</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Experimentation</ITEM>
<ITEM>Verification</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>databases</ITEM>
<ITEM>software testing</ITEM>
<ITEM>database testing</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="13">
<ITEM>Intensional Test Cases</ITEM>
<ITEM>Testing for Database Systems</ITEM>
<ITEM>Efficient Testing</ITEM>
<ITEM>Testing Framework</ITEM>
<ITEM>Query Based Language</ITEM>
<ITEM>Lesser Programmer Effort for Test Cases</ITEM>
<ITEM>Improvement for the Intensional Test Cases</ITEM>
<ITEM>DOT-UNIT</ITEM>
<ITEM>Performance Testing</ITEM>
<ITEM>Seamless Integration</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="36">
<TITLE>Analysis of Soft Handover Measurements in 3G Network</TITLE>
<LINKS>
<LINK name="PDF" url="36/36.pdf"></LINK>
<LINK name="TXT" url="36/36.txt"></LINK>
<LINK name="HTML" url="36/36.html"></LINK>
<LINK name="XML" url="36/36.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.4.3 [Information Systems Applications]: Communications Applications - Information browsers</ITEM>
<ITEM>I.5.3 [Pattern Recognition]: Clustering</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Management</ITEM>
<ITEM>Performance</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>3G network</ITEM>
<ITEM>soft handover</ITEM>
<ITEM>mobility management</ITEM>
<ITEM>data mining</ITEM>
<ITEM>hierarchical clustering</ITEM>
<ITEM>neural networks</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="13">
<ITEM>Soft Handover</ITEM>
<ITEM>Neural Network Algorithm</ITEM>
<ITEM>Key Performance Indicator of Handover</ITEM>
<ITEM>Cluster Analysis</ITEM>
<ITEM>Self-Organizing Map</ITEM>
<ITEM>Decrease in Computational Complexity</ITEM>
<ITEM>Two-Phase Clustering Algorithm</ITEM>
<ITEM>Visualization Capability</ITEM>
<ITEM>Histograms</ITEM>
<ITEM>Data Mining</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="37">
<TITLE>Aspect Oriented Programming for a component-based real life application: A case study</TITLE>
<LINKS>
<LINK name="PDF" url="37/37.pdf"></LINK>
<LINK name="TXT" url="37/37.txt"></LINK>
<LINK name="HTML" url="37/37.html"></LINK>
<LINK name="XML" url="37/37.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>AOP</ITEM>
<ITEM>Aspect Oriented Programming</ITEM>
<ITEM>evaluation</ITEM>
<ITEM>case study</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="14">
<ITEM>Aspect Oriented Programming</ITEM>
<ITEM>Object Oriented Programming</ITEM>
<ITEM>AOP</ITEM>
<ITEM>OOP</ITEM>
<ITEM>programming paradigms</ITEM>
<ITEM>Aspect Oriented Programming application</ITEM>
<ITEM>programming paradigm comparison</ITEM>
<ITEM>Software development process experiment</ITEM>
<ITEM>development process experiment metrics</ITEM>
<ITEM>Web Crawler Implementation</ITEM>
<ITEM>component-based application</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="38">
<TITLE>Attack-Resilient Hierarchical Data Aggregation in Sensor Networks</TITLE>
<LINKS>
<LINK name="PDF" url="38/38.pdf"></LINK>
<LINK name="TXT" url="38/38.txt"></LINK>
<LINK name="HTML" url="38/38.html"></LINK>
<LINK name="XML" url="38/38.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>C.2.0 [Computer-Communication Networks]: General—Security and protection</ITEM>
<ITEM>C.2.1 [Computer-Communication Networks]: Network Architecture and Design—Wireless communication</ITEM>
<ITEM>D.4.6 [Operating Systems]: Security and Protection—Cryptographic controls</ITEM>
<ITEM>K.6.5 [Management of Computing and Information Systems]: Security and Protection</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Design</ITEM>
<ITEM>Security</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Sensor Network Security</ITEM>
<ITEM>Data Aggregation</ITEM>
<ITEM>Hierarchical Aggregation</ITEM>
<ITEM>Synopsis Diffusion</ITEM>
<ITEM>Attack-Resilient</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="14">
<ITEM>sensor networks</ITEM>
<ITEM>in-network data aggregation</ITEM>
<ITEM>network aggregation algorithms</ITEM>
<ITEM>Attack resilient heirarchical data aggregation</ITEM>
<ITEM>node compromise prevention</ITEM>
<ITEM>synopsis diffusion aggregation framework</ITEM>
<ITEM>robust aggregation</ITEM>
<ITEM>falsified local value attack</ITEM>
<ITEM>falsified sub-aggregate attack</ITEM>
<ITEM>Sum aggregate</ITEM>
<ITEM>Count aggregate</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="39">
<TITLE>Automated Rich Presentation of a Semantic Topic</TITLE>
<LINKS>
<LINK name="PDF" url="39/39.pdf"></LINK>
<LINK name="TXT" url="39/39.txt"></LINK>
<LINK name="HTML" url="39/39.html"></LINK>
<LINK name="XML" url="39/39.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.5.3 [Information Interfaces and Presentation]: Group and Organization Interfaces - Organizational design</ITEM>
<ITEM>H.3.1 [Information Storage and Retrieval]: Content Analysis and Indexing - abstracting methods</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Design</ITEM>
<ITEM>Management</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Rich presentation</ITEM>
<ITEM>multimodality</ITEM>
<ITEM>multimedia authoring</ITEM>
<ITEM>storyboard</ITEM>
<ITEM>events clustering</ITEM>
<ITEM>multimedia fusion</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="15">
<ITEM>Rich video clips and flashes</ITEM>
<ITEM>Communication and Multimedia</ITEM>
<ITEM>High-level semantics</ITEM>
<ITEM>Images, videos and Audio Technologies</ITEM>
<ITEM>documentary and movie</ITEM>
<ITEM>Representative Media</ITEM>
<ITEM>Subjective multiple events</ITEM>
<ITEM>Generate storyboard</ITEM>
<ITEM>Event clustering</ITEM>
<ITEM>Multi-modal information</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="4">
<TITLE>A Database Security Course on a Shoestring</TITLE>
<LINKS>
<LINK name="PDF" url="4/4.pdf"></LINK>
<LINK name="TXT" url="4/4.txt"></LINK>
<LINK name="HTML" url="4/4.html"></LINK>
<LINK name="XML" url="4/4.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.2.7 [DATABASE MANAGEMENT]: Database Administration - security, integrity, and protection</ITEM>
<ITEM>K.3.2 [COMPUTERS AND EDUCATION]: Computer and Information Science Education—curriculum</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Security</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Undergraduate Database Security Course</ITEM>
<ITEM>Database Security</ITEM>
<ITEM>Laboratory/Active Learning</ITEM>
<ITEM>Statistical Security</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>Database security course</ITEM>
<ITEM>Database security</ITEM>
<ITEM>Database system</ITEM>
<ITEM>Hands-on experience</ITEM>
<ITEM>Database security plan</ITEM>
<ITEM>Cryptography</ITEM>
<ITEM>Labs</ITEM>
<ITEM>Assignments</ITEM>
<ITEM>Administrators</ITEM>
<ITEM>Security breaches</ITEM>
<ITEM>Data access</ITEM>
<ITEM>Secure information</ITEM>
<ITEM>Topics</ITEM>
<ITEM>Undergraduate students</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="13">
<ITEM>Security Plan</ITEM>
<ITEM>Database Security Course</ITEM>
<ITEM>Real Life Databases Hands-on</ITEM>
<ITEM>Access Privilege System</ITEM>
<ITEM>Privacy Issues</ITEM>
<ITEM>XML Security</ITEM>
<ITEM>High Risk of Sensitive Information</ITEM>
<ITEM>Few Database Security Courses</ITEM>
<ITEM>Right Blend of Theory and Practice</ITEM>
<ITEM>Importance of Database Security</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="14">
<ITEM>Database Security</ITEM>
<ITEM>Undergraduate course</ITEM>
<ITEM>Database Security Education</ITEM>
<ITEM>Hands-on</ITEM>
<ITEM>Database Security Plan</ITEM>
<ITEM>Statistical Database Security</ITEM>
<ITEM>Database Privacy</ITEM>
<ITEM>Real Life Database Security</ITEM>
<ITEM>MySQL Security</ITEM>
<ITEM>Oracle Security</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="40">
<TITLE>Automatic Extraction of Titles from General Documents using Machine Learning</TITLE>
<LINKS>
<LINK name="PDF" url="40/40.pdf"></LINK>
<LINK name="TXT" url="40/40.txt"></LINK>
<LINK name="HTML" url="40/40.html"></LINK>
<LINK name="XML" url="40/40.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval - Search Process</ITEM>
<ITEM>H.4.1 [Information Systems Applications]: Office Automation - Word processing</ITEM>
<ITEM>D.2.8 [Software Engineering]: Metrics - complexity measures,performance measures</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Experimentation</ITEM>
<ITEM>Performance</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>information extraction</ITEM>
<ITEM>metadata extraction</ITEM>
<ITEM>machine learning</ITEM>
<ITEM>search</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="15">
<ITEM>Microsoft Office Automation</ITEM>
<ITEM>Metadata processing</ITEM>
<ITEM>Digital Copies</ITEM>
<ITEM>Information search and Retrieval</ITEM>
<ITEM>File Formats’ extraction</ITEM>
<ITEM>PowerPoint documents</ITEM>
<ITEM>File extraction</ITEM>
<ITEM>generic languages</ITEM>
<ITEM>Search ranking results</ITEM>
<ITEM>Precision extraction</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="41">
<TITLE>Autonomous and Distributed Node Recovery in Wireless Sensor Networks</TITLE>
<LINKS>
<LINK name="PDF" url="41/41.pdf"></LINK>
<LINK name="TXT" url="41/41.txt"></LINK>
<LINK name="HTML" url="41/41.html"></LINK>
<LINK name="XML" url="41/41.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>C.2.0 [Computer-communication networks]: General - Security and protection</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Reliability</ITEM>
<ITEM>Security</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Wireless Sensor Networks</ITEM>
<ITEM>Node Recovery</ITEM>
<ITEM>Intrusion Detection</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>distributed algorithm</ITEM>
<ITEM>node recovery</ITEM>
<ITEM>IDS</ITEM>
<ITEM>intrusion detection</ITEM>
<ITEM>sensor networks</ITEM>
<ITEM>sensor nodes</ITEM>
<ITEM>countermeasures</ITEM>
<ITEM>security</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="42">
<TITLE>Bayesian Online Classifiers for Text Classification and Filtering</TITLE>
<LINKS>
<LINK name="PDF" url="42/42.pdf"></LINK>
<LINK name="TXT" url="42/42.txt"></LINK>
<LINK name="HTML" url="42/42.html"></LINK>
<LINK name="XML" url="42/42.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.3 [Information Systems]: Information Search and Retrieval - Information filtering</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Text Classification</ITEM>
<ITEM>Text Filtering</ITEM>
<ITEM>Bayesian</ITEM>
<ITEM>Online</ITEM>
<ITEM>Machine Learning</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>text classification</ITEM>
<ITEM>Bayesian online classifiers</ITEM>
<ITEM>filtering</ITEM>
<ITEM>machine learning</ITEM>
<ITEM>continous learning</ITEM>
<ITEM>Gaussian process</ITEM>
<ITEM>perceptron</ITEM>
<ITEM>information gain</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="43">
<TITLE>Beyond PageRank: Machine Learning for Static Ranking</TITLE>
<LINKS>
<LINK name="PDF" url="43/43.pdf"></LINK>
<LINK name="TXT" url="43/43.txt"></LINK>
<LINK name="HTML" url="43/43.html"></LINK>
<LINK name="XML" url="43/43.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>I.2.6 [Artificial Intelligence]: Learning</ITEM>
<ITEM>H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Measurement</ITEM>
<ITEM>Performance</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Static ranking</ITEM>
<ITEM>search engines</ITEM>
<ITEM>PageRank</ITEM>
<ITEM>RankNet</ITEM>
<ITEM>relevance</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>static ranking</ITEM>
<ITEM>dynamic ranking</ITEM>
<ITEM>PageRank</ITEM>
<ITEM>Web pages</ITEM>
<ITEM>static features</ITEM>
<ITEM>anchor text</ITEM>
<ITEM>popularity data</ITEM>
<ITEM>fRank</ITEM>
<ITEM>pairwise accuracy</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="44">
<TITLE>Black-Box Constructions for Secure Computation</TITLE>
<LINKS>
<LINK name="PDF" url="44/44.pdf"></LINK>
<LINK name="TXT" url="44/44.txt"></LINK>
<LINK name="HTML" url="44/44.html"></LINK>
<LINK name="XML" url="44/44.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>F.1.2 [Theory of Computation]: Interactive and reactive computation</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Theory</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Theory of cryptography</ITEM>
<ITEM>secure computation</ITEM>
<ITEM>black-box reductions</ITEM>
<ITEM>oblivious transfer</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>black-box</ITEM>
<ITEM>nonblack-box</ITEM>
<ITEM>secure computation</ITEM>
<ITEM>oblivious transfer protocol</ITEM>
<ITEM>trapdoor permutation</ITEM>
<ITEM>cryptographic</ITEM>
<ITEM>encryption scheme</ITEM>
<ITEM>malicious adversary</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="45">
<TITLE>Bluetooth Dynamic Scheduling and Interference Mitigation</TITLE>
<LINKS>
<LINK name="PDF" url="45/45.pdf"></LINK>
<LINK name="TXT" url="45/45.txt"></LINK>
<LINK name="HTML" url="45/45.html"></LINK>
<LINK name="XML" url="45/45.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>WPANs</ITEM>
<ITEM>Bluetooth</ITEM>
<ITEM>interference</ITEM>
<ITEM>MAC scheduling</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>Bluetooth</ITEM>
<ITEM>dynamic scheduling</ITEM>
<ITEM>inteference</ITEM>
<ITEM>coexistence</ITEM>
<ITEM>WLAN</ITEM>
<ITEM>WPAN</ITEM>
<ITEM>QoS</ITEM>
<ITEM>scheduling priorities</ITEM>
<ITEM>BIAS</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="46">
<TITLE>Breadth-First Search Crawling Yields High-Quality Pages</TITLE>
<LINKS>
<LINK name="PDF" url="46/46.pdf"></LINK>
<LINK name="TXT" url="46/46.txt"></LINK>
<LINK name="HTML" url="46/46.html"></LINK>
<LINK name="XML" url="46/46.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Crawling</ITEM>
<ITEM>crawl order</ITEM>
<ITEM>breadth-first search</ITEM>
<ITEM>page quality metric</ITEM>
<ITEM>PageRank</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>breadth first search</ITEM>
<ITEM>crawling</ITEM>
<ITEM>ordering metrics</ITEM>
<ITEM>PageRank</ITEM>
<ITEM>high quality pages</ITEM>
<ITEM>connectivity-based metrics</ITEM>
<ITEM></ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="47">
<TITLE>Broadcasting Information via Display Names in Instant Messaging</TITLE>
<LINKS>
<LINK name="PDF" url="47/47.pdf"></LINK>
<LINK name="TXT" url="47/47.txt"></LINK>
<LINK name="HTML" url="47/47.html"></LINK>
<LINK name="XML" url="47/47.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>K.4.3 [Computers and Society]: Organizational Impacts - Computer-supported collaborative work</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Design</ITEM>
<ITEM>Experimentation</ITEM>
<ITEM>Human Factors</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Instant messenger</ITEM>
<ITEM>display name</ITEM>
<ITEM>communication</ITEM>
<ITEM>awareness</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="19">
<ITEM>Instant Messaging</ITEM>
<ITEM>Display Names</ITEM>
<ITEM>MSN messager</ITEM>
<ITEM>Related IM Research</ITEM>
<ITEM>Catorgorisation Of Display Names</ITEM>
<ITEM>Communication Catogories</ITEM>
<ITEM>Distribution Frequency Of Various Catogories</ITEM>
<ITEM>Identification Is Fundamental</ITEM>
<ITEM>Broadcast Information</ITEM>
<ITEM>Name Variation Handles</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="48">
<TITLE>Building a Research Library for the History of the Web</TITLE>
<LINKS>
<LINK name="PDF" url="48/48.pdf"></LINK>
<LINK name="TXT" url="48/48.txt"></LINK>
<LINK name="HTML" url="48/48.html"></LINK>
<LINK name="XML" url="48/48.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.7 [Information Storage and Retrieval]: Digital Libraries - collection, systems issues, user issues</ITEM>
<ITEM>J.4 [Social and Behavioral Sciences]: sociology</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Management</ITEM>
<ITEM>Measurement</ITEM>
<ITEM>Performance</ITEM>
<ITEM>Design</ITEM>
<ITEM>Human Factors</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>history of the Web</ITEM>
<ITEM>digital libraries</ITEM>
<ITEM>computational social science</ITEM>
<ITEM>Internet Archive. 1. BACKGROUND 1.1 Research in the History of the Web The Web is one of the most interesting artifacts of our time. For social scientists</ITEM>
<ITEM>it is a subject of study both for itself and for the manner in which it illuminates contemporary social phenomena. Yet a researcher who wishes to study the Web is faced with major difficulties. An obvious problem is that the Web is huge. Any study of the Web as a whole must be prepared to analyze billions of pages and hundreds of terabytes of data. Furthermore</ITEM>
<ITEM>the Web changes continually. It is never possible to repeat a study on the actual Web with quite the same data. Any snapshot of the whole Web requires a crawl that will take several weeks to gather data. Because the size and boundaries of the Web are ill defined</ITEM>
<ITEM>basic parameters are hard to come by and it is almost impossible to generate random samples for statistical purposes. But the biggest problem that social scientists face in carrying out Web research is historical</ITEM>
<ITEM>the desire to track activities across time. The Web of today can be studied by direct Web crawling</ITEM>
<ITEM>or via tools such as the Google Web API</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="19">
<ITEM>Internet Archive</ITEM>
<ITEM>Storage</ITEM>
<ITEM>Database Management</ITEM>
<ITEM>Dataflow</ITEM>
<ITEM>Scalability</ITEM>
<ITEM>User Interface</ITEM>
<ITEM>Flexible Preload System</ITEM>
<ITEM>User Support</ITEM>
<ITEM>Database Access</ITEM>
<ITEM>Full Text Indexes</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="49">
<TITLE>Building a Sense of History: Narratives and Pathways of Women Computing Educators</TITLE>
<LINKS>
<LINK name="PDF" url="49/49.pdf"></LINK>
<LINK name="TXT" url="49/49.txt"></LINK>
<LINK name="HTML" url="49/49.html"></LINK>
<LINK name="XML" url="49/49.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>K.2 [Computing and History]; K.3 [Computing and Education]</ITEM>
<ITEM>K.7 [The Computing Profession]</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Human Factors</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Computing Education History</ITEM>
<ITEM>Oral History</ITEM>
</AUTHOR_KEYWORDS>
</DOC>
<DOC ID="5">
<TITLE>A Dependability Perspective on Emerging Technologies</TITLE>
<LINKS>
<LINK name="PDF" url="5/5.pdf"></LINK>
<LINK name="TXT" url="5/5.txt"></LINK>
<LINK name="HTML" url="5/5.html"></LINK>
<LINK name="XML" url="5/5.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>B.8.1 [Performance and Reliability]: Reliability, Testing, and Fault-Tolerance.</ITEM>
<ITEM>C.4 [Performance of Systems]: Fault-Tolerance, Reliability,Availability, and Serviceability.</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Design</ITEM>
<ITEM>Reliability</ITEM>
<ITEM>Theory</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Dependability</ITEM>
<ITEM>emerging technologies</ITEM>
<ITEM>evolvable hardware</ITEM>
<ITEM>bio-inspired computing</ITEM>
<ITEM>bio-inspired digital design</ITEM>
<ITEM>Embryonics</ITEM>
<ITEM>reliability</ITEM>
<ITEM>quantum computing</ITEM>
<ITEM>fault-tolerance assessment</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>Emerging technologies</ITEM>
<ITEM>Dependability</ITEM>
<ITEM>environment</ITEM>
<ITEM>Bio-inspired computing</ITEM>
<ITEM>Quantum computing</ITEM>
<ITEM>Reliability</ITEM>
<ITEM>Nanoelectronics	</ITEM>
<ITEM>Computing system</ITEM>
<ITEM>Dependable system</ITEM>
<ITEM>Soft errors</ITEM>
<ITEM>Failure rate</ITEM>
<ITEM>Digital devices</ITEM>
<ITEM>Error detection</ITEM>
<ITEM>Correction techniques</ITEM>
<ITEM>Fault tolerance</ITEM>
<ITEM>Self replication</ITEM>
<ITEM>Self repair</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="18">
<ITEM>Computing technology</ITEM>
<ITEM>Computing architecture</ITEM>
<ITEM>Computer system</ITEM>
<ITEM>Bio-computing</ITEM>
<ITEM>Nanoelectronics</ITEM>
<ITEM>Embryonics</ITEM>
<ITEM>System design</ITEM>
<ITEM>Quantum computing</ITEM>
<ITEM>QUERIST</ITEM>
<ITEM>Nano computing</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="50">
<TITLE>Building Sustainable Community Information Systems: Lessons from a Digital Government Project</TITLE>
<LINKS>
<LINK name="PDF" url="50/50.pdf"></LINK>
<LINK name="TXT" url="50/50.txt"></LINK>
<LINK name="HTML" url="50/50.html"></LINK>
<LINK name="XML" url="50/50.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H4.3 [Communication Applications]: Bulletin Boards, Computer Conferencing</ITEM>
<ITEM>H5.2 [Information Interfaces and Presentation]: User Interfaces – User-centered design</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Design</ITEM>
<ITEM>Human Factors</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Community networks</ITEM>
<ITEM>participatory design</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>sustainability</ITEM>
<ITEM>computerized community information system</ITEM>
<ITEM>community network</ITEM>
<ITEM>construction of technology</ITEM>
<ITEM>skateholder involvement</ITEM>
<ITEM>critical mass</ITEM>
<ITEM>key players</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="51">
<TITLE>Can Machine Learning Be Secure?</TITLE>
<LINKS>
<LINK name="PDF" url="51/51.pdf"></LINK>
<LINK name="TXT" url="51/51.txt"></LINK>
<LINK name="HTML" url="51/51.html"></LINK>
<LINK name="XML" url="51/51.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>D.4.6 [Security and Protection]: Invasive software (e.g.,viruses, worms, Trojan horses)</ITEM>
<ITEM>I.5.1 [Models]: Statistical</ITEM>
<ITEM>I.5.2 [Design Methodology]</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Security</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Adversarial Learning</ITEM>
<ITEM>Computer Networks</ITEM>
<ITEM>Computer Security</ITEM>
<ITEM>Game Theory</ITEM>
<ITEM>Intrusion Detection</ITEM>
<ITEM>Machine Learning</ITEM>
<ITEM>Security Metrics</ITEM>
<ITEM>Spam Filters</ITEM>
<ITEM>Statistical Learning</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="21">
<ITEM>Machine learning</ITEM>
<ITEM>Security</ITEM>
<ITEM>Intrusion detection system</ITEM>
<ITEM>Learning algorithms</ITEM>
<ITEM>Integrity</ITEM>
<ITEM>Availability</ITEM>
<ITEM>Causative attack</ITEM>
<ITEM>Exploratory attack</ITEM>
<ITEM>Targeted attack</ITEM>
<ITEM>Indiscriminate attack</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="52">
<TITLE>Catenaccio: Interactive Information Retrieval System through Drawing</TITLE>
<LINKS>
<LINK name="PDF" url="52/52.pdf"></LINK>
<LINK name="TXT" url="52/52.txt"></LINK>
<LINK name="HTML" url="52/52.html"></LINK>
<LINK name="XML" url="52/52.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>I.3.6 [Computer Graphics]: Methodology and Techniques – Interaction Techniques</ITEM>
<ITEM>I.3.4 [Computer Graphics]: Graphics Utilities – Software support</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<AUTHOR_KEYWORDS>
<ITEM>Information retrieval</ITEM>
<ITEM>sketch manipulations</ITEM>
<ITEM>Venn diagram</ITEM>
<ITEM>interactive system</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="21">
<ITEM>Catnaccio system</ITEM>
<ITEM>Pen-based computing</ITEM>
<ITEM>Interactive information retrieval system</ITEM>
<ITEM>Visual information retrieval</ITEM>
<ITEM>Venn diagram</ITEM>
<ITEM>Image data</ITEM>
<ITEM>2D system</ITEM>
<ITEM>Information node</ITEM>
<ITEM>keyword searching</ITEM>
<ITEM>Sketch manipulation</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="53">
<TITLE>Compression of Inverted Indexes For Fast Query Evaluation</TITLE>
<LINKS>
<LINK name="PDF" url="53/53.pdf"></LINK>
<LINK name="TXT" url="53/53.txt"></LINK>
<LINK name="HTML" url="53/53.html"></LINK>
<LINK name="XML" url="53/53.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.4 [Information Storage and Retrieval]:Systems and Software Performance evaluation (efficiency and effectiveness)</ITEM>
<ITEM>E.4 [Data]:C oding and Information Theory Data compaction and compression</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Performance</ITEM>
<ITEM>Algorithms</ITEM>
<ITEM>Design</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Inverted indexes</ITEM>
<ITEM>retrieval efficiency</ITEM>
<ITEM>index compression</ITEM>
<ITEM>integer coding</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="22">
<ITEM>Compression</ITEM>
<ITEM>Inverted index</ITEM>
<ITEM>Document retrieval</ITEM>
<ITEM>Search engine</ITEM>
<ITEM>Bytewise compression</ITEM>
<ITEM>Variable byte</ITEM>
<ITEM>Efficiency</ITEM>
<ITEM>Decoding</ITEM>
<ITEM>Integer Compression</ITEM>
<ITEM>Optimisation</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="54">
<TITLE>Computing Consistent Query Answers using Conflict Hypergraphs</TITLE>
<LINKS>
<LINK name="PDF" url="54/54.pdf"></LINK>
<LINK name="TXT" url="54/54.txt"></LINK>
<LINK name="HTML" url="54/54.html"></LINK>
<LINK name="XML" url="54/54.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.2.3</ITEM>
<ITEM>H.2.4</ITEM>
<ITEM>F.4.1</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Languages</ITEM>
<ITEM>Theory</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>inconsistency</ITEM>
<ITEM>integrity constraints</ITEM>
<ITEM>query processing</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="22">
<ITEM>Consistent Query answer</ITEM>
<ITEM>Inconsistent database</ITEM>
<ITEM>Relational algebra</ITEM>
<ITEM>Conflict hypergraph</ITEM>
<ITEM>Denial constraints</ITEM>
<ITEM>Disjunctive query</ITEM>
<ITEM>Polynomial time</ITEM>
<ITEM>Repair</ITEM>
<ITEM>Optimization</ITEM>
<ITEM>Knowledge gathering</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="55">
<TITLE>Consistent Query Answering under Key and Exclusion Dependencies: Algorithms and Experiments</TITLE>
<LINKS>
<LINK name="PDF" url="55/55.pdf"></LINK>
<LINK name="TXT" url="55/55.txt"></LINK>
<LINK name="HTML" url="55/55.html"></LINK>
<LINK name="XML" url="55/55.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.2.3 [Database Management]: Languages|query languages</ITEM>
<ITEM>F.2.0 [Analysis of Algorithms and Problem Complexity]: General</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Theory</ITEM>
<ITEM>Algorithms</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Inconsistency</ITEM>
<ITEM>Computational Complexity</ITEM>
<ITEM>Query Rewriting</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>consistent query answering</ITEM>
<ITEM>inconsistent database</ITEM>
<ITEM>integrity constraints</ITEM>
<ITEM>conjunctive queries</ITEM>
<ITEM>relational database</ITEM>
<ITEM>query rewriting</ITEM>
<ITEM>database schemas</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="56">
<TITLE>Context-Aware Web Information Systems</TITLE>
<LINKS>
<LINK name="PDF" url="56/56.pdf"></LINK>
<LINK name="TXT" url="56/56.txt"></LINK>
<LINK name="HTML" url="56/56.html"></LINK>
<LINK name="XML" url="56/56.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Web Information Systems</ITEM>
<ITEM>Web services</ITEM>
<ITEM>context-aware information systems</ITEM>
<ITEM>media objects</ITEM>
<ITEM>SiteLang</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>web information system</ITEM>
<ITEM>usability</ITEM>
<ITEM>context-awareness</ITEM>
<ITEM>story boarding</ITEM>
<ITEM>web site</ITEM>
<ITEM>media objects</ITEM>
<ITEM>scenarios</ITEM>
<ITEM>media type</ITEM>
<ITEM>scenes</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="57">
<TITLE>Contour-based Partial Object Recognition using Symmetry in Image Databases</TITLE>
<LINKS>
<LINK name="PDF" url="57/57.pdf"></LINK>
<LINK name="TXT" url="57/57.txt"></LINK>
<LINK name="HTML" url="57/57.html"></LINK>
<LINK name="XML" url="57/57.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Object</ITEM>
<ITEM>Image</ITEM>
<ITEM>Contour</ITEM>
<ITEM>Recognition</ITEM>
<ITEM>Symmetry</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>occlusion</ITEM>
<ITEM>object recognition</ITEM>
<ITEM>symmetry</ITEM>
<ITEM>reconstruction</ITEM>
<ITEM>contour</ITEM>
<ITEM>estimation</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="58">
<TITLE>COOLCAT: An entropy-based algorithm for categorical clustering</TITLE>
<LINKS>
<LINK name="PDF" url="58/58.pdf"></LINK>
<LINK name="TXT" url="58/58.txt"></LINK>
<LINK name="HTML" url="58/58.html"></LINK>
<LINK name="XML" url="58/58.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>I.5.3 [ComputingMethodologies]: Pattern Recognition - Clustering</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Entropy</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>clustering</ITEM>
<ITEM>entropy</ITEM>
<ITEM>data streams</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>categorical clustering</ITEM>
<ITEM>entropy</ITEM>
<ITEM>incremental algorithm</ITEM>
<ITEM>data stream</ITEM>
<ITEM>COOLCAT</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="59">
<TITLE>Coupling and Cohesion Measures for Evaluation of Component Reusability</TITLE>
<LINKS>
<LINK name="PDF" url="59/59.pdf"></LINK>
<LINK name="TXT" url="59/59.txt"></LINK>
<LINK name="HTML" url="59/59.html"></LINK>
<LINK name="XML" url="59/59.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>D.2.8.3 [Metrics]: Complexity measures</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Measurement</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Coupling</ITEM>
<ITEM>Cohesion</ITEM>
<ITEM>Reusability</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="25">
<ITEM>Java components</ITEM>
<ITEM>Component search engine</ITEM>
<ITEM>Cohesion Metric</ITEM>
<ITEM>Coupling</ITEM>
<ITEM>Binary Quantity</ITEM>
<ITEM>Intransitive Relation</ITEM>
<ITEM>Experimentary Comparsion</ITEM>
<ITEM>Linear Regression</ITEM>
<ITEM>Spearman Rank Correlation</ITEM>
<ITEM>Search Engine Technology</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="6">
<TITLE>A Distributed 3D Graphics Library</TITLE>
<LINKS>
<LINK name="PDF" url="6/6.pdf"></LINK>
<LINK name="TXT" url="6/6.txt"></LINK>
<LINK name="HTML" url="6/6.html"></LINK>
<LINK name="XML" url="6/6.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>D.1.3 [Programming Techniques]: Concurrent Programming—Distributed Programming</ITEM>
<ITEM>H.4.1 [Information Systems Applications]: Office Automation—Groupware</ITEM>
<ITEM>I.3.2 [Computer Graphics]: Graphics Systems—Distributed/network graphics</ITEM>
<ITEM>I.3.6 [Computer Graphics]: Methodology and Techniques—Graphics data structures and data types</ITEM>
<ITEM>I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism—Virtual reality</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<AUTHOR_KEYWORDS>
<ITEM>object-oriented graphics</ITEM>
<ITEM>distributed shared memory</ITEM>
<ITEM>distributed virtual environments</ITEM>
<ITEM>shared-data object model</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>3D graphics library</ITEM>
<ITEM>Repo-3D</ITEM>
<ITEM>Distributed graphics</ITEM>
<ITEM>3D graphics application</ITEM>
<ITEM>Distributed applications</ITEM>
<ITEM>3D graphics</ITEM>
<ITEM>Object oriented</ITEM>
<ITEM>Graphical objects</ITEM>
<ITEM>Shared memory</ITEM>
<ITEM>Replicated object</ITEM>
<ITEM>Data sharing</ITEM>
<ITEM>Interactive graphical application</ITEM>
<ITEM>Distributed processes</ITEM>
<ITEM>Programming language</ITEM>
<ITEM>Client-server approach</ITEM>
<ITEM>Callbacks</ITEM>
<ITEM>Change notification</ITEM>
<ITEM>Properties</ITEM>
<ITEM>Local variation</ITEM>
<ITEM>Heterogeneous workstation</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="21">
<ITEM>3D graphics</ITEM>
<ITEM>object-oriented library</ITEM>
<ITEM>distributed shared memory</ITEM>
<ITEM>programming language</ITEM>
<ITEM>multi-threaded programming</ITEM>
<ITEM>duplicate database</ITEM>
<ITEM>data distribution</ITEM>
<ITEM>prototype</ITEM>
<ITEM>local variations</ITEM>
<ITEM>Java</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="22">
<ITEM>3D Graphics</ITEM>
<ITEM>Library</ITEM>
<ITEM>Programming</ITEM>
<ITEM>Object-oriented</ITEM>
<ITEM>Distributed systems</ITEM>
<ITEM>Multi-user interaction</ITEM>
<ITEM>Data structures</ITEM>
<ITEM>Syncronisation</ITEM>
<ITEM>Client-Server</ITEM>
<ITEM>Prototyping</ITEM>
<ITEM>Object representation</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="60">
<TITLE>Coupling Feature Selection and Machine Learning Methods for Navigational Query Identification</TITLE>
<LINKS>
<LINK name="PDF" url="60/60.pdf"></LINK>
<LINK name="TXT" url="60/60.txt"></LINK>
<LINK name="HTML" url="60/60.html"></LINK>
<LINK name="XML" url="60/60.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.4 [Information Systems Applications]: Miscellaneous</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Navigational Query Classification</ITEM>
<ITEM>Machine Learning</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="25">
<ITEM>Navigational and Informational query</ITEM>
<ITEM>Multiple Level feature system</ITEM>
<ITEM>Naive Bayes Classifier</ITEM>
<ITEM>Maximum Entropy Classifier</ITEM>
<ITEM>Support Vector Machine</ITEM>
<ITEM>Gradient Boosting Tree</ITEM>
<ITEM>Information Gain</ITEM>
<ITEM>Linear SVM Feature Ranking</ITEM>
<ITEM>Stochastic Gradient Boosting Tree</ITEM>
<ITEM>Experiments Results</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="61">
<TITLE>Coverage Directed Test Generation for Functional Verification using Bayesian Networks</TITLE>
<LINKS>
<LINK name="PDF" url="61/61.pdf"></LINK>
<LINK name="TXT" url="61/61.txt"></LINK>
<LINK name="HTML" url="61/61.html"></LINK>
<LINK name="XML" url="61/61.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>B.6.3 [Logic Design]: Design Aids—Verification</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Verification</ITEM>
<ITEM>Measurement</ITEM>
<ITEM>Algorithms</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Functional Verification</ITEM>
<ITEM>Coverage Analysis</ITEM>
<ITEM>Bayesian Networks</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="26">
<ITEM>Bayesian Networks</ITEM>
<ITEM>Coverage directed test generation</ITEM>
<ITEM>Dynamic Bayesian Network</ITEM>
<ITEM>conditional probability</ITEM>
<ITEM>Markov Chain</ITEM>
<ITEM>coverage model</ITEM>
<ITEM>design under test</ITEM>
<ITEM>bidirectional inferences</ITEM>
<ITEM>Maximal A Posteriori</ITEM>
<ITEM>Most Probable Explanation</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="62">
<TITLE>Creating a Massive Master Index for HTML and Print</TITLE>
<LINKS>
<LINK name="PDF" url="62/62.pdf"></LINK>
<LINK name="TXT" url="62/62.txt"></LINK>
<LINK name="HTML" url="62/62.html"></LINK>
<LINK name="XML" url="62/62.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>I.7.2 [Document and Text Processing]: Index Generation,Document Preparation--Index generation</ITEM>
<ITEM>H.3.1 [Information Storage and Retrieval]: Content Analysis and Indexing--Indexing methods</ITEM>
<ITEM>H3.7: Digital Libraries: User issues</ITEM>
<ITEM>H.5.4 [Information Interfaces and Presentation]: Hypertext/ Hypermedia--Navigation</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Documentation</ITEM>
<ITEM>Design</ITEM>
<ITEM>Human factors</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Indexing</ITEM>
<ITEM>Search</ITEM>
<ITEM>Information retrieval methods</ITEM>
<ITEM>Online information</ITEM>
<ITEM>Navigation</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="26">
<ITEM>Human factors</ITEM>
<ITEM>Massive Master</ITEM>
<ITEM>HTML master index</ITEM>
<ITEM>Internally developed format</ITEM>
<ITEM>book indexes</ITEM>
<ITEM>automation</ITEM>
<ITEM>SQL data type</ITEM>
<ITEM>indexing problems</ITEM>
<ITEM>primary index entry</ITEM>
<ITEM>drop-down selection of terms</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="63">
<TITLE>Data Mining in Metric Space: An Empirical Analysis of Supervised Learning Performance Criteria</TITLE>
<LINKS>
<LINK name="PDF" url="63/63.pdf"></LINK>
<LINK name="TXT" url="63/63.txt"></LINK>
<LINK name="HTML" url="63/63.html"></LINK>
<LINK name="XML" url="63/63.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>I.5.2 [Pattern Recognition]: Design Methodology - classifier design and evaluation</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Measurement</ITEM>
<ITEM>Performance</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Supervised Learning</ITEM>
<ITEM>Performance Evaluation</ITEM>
<ITEM>Metrics</ITEM>
<ITEM>ROC</ITEM>
<ITEM>Precision</ITEM>
<ITEM>Recall</ITEM>
<ITEM>Lift</ITEM>
<ITEM>Cross Entropy</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="27">
<ITEM>supervised learning</ITEM>
<ITEM>squared error</ITEM>
<ITEM>SVMs</ITEM>
<ITEM>ordering metric</ITEM>
<ITEM>performance metric</ITEM>
<ITEM>algorithmns</ITEM>
<ITEM>Euclidean distance</ITEM>
<ITEM>standard deviation</ITEM>
<ITEM>pairwise</ITEM>
<ITEM>backpropagation</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="64">
<TITLE>Database Security Curriculum in InfoSec Program</TITLE>
<LINKS>
<LINK name="PDF" url="64/64.pdf"></LINK>
<LINK name="TXT" url="64/64.txt"></LINK>
<LINK name="HTML" url="64/64.html"></LINK>
<LINK name="XML" url="64/64.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.2.0 [General] Security, Integrity and protection</ITEM>
<ITEM>D.4.6 [Security and Protection] Access controls, Authentication</ITEM>
<ITEM>K.6.5 [Security and Protection] Physical security</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<AUTHOR_KEYWORDS>
<ITEM>Database</ITEM>
<ITEM>multilevel security</ITEM>
<ITEM>encryption</ITEM>
<ITEM>inference</ITEM>
<ITEM>privacy</ITEM>
<ITEM>policy</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="27">
<ITEM>security</ITEM>
<ITEM>database</ITEM>
<ITEM>privacy</ITEM>
<ITEM>access control</ITEM>
<ITEM>authentication</ITEM>
<ITEM>CIA</ITEM>
<ITEM>polyinstantiation</ITEM>
<ITEM>inference channel</ITEM>
<ITEM>encryption</ITEM>
<ITEM>buffer overflows</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="65">
<TITLE>dBBlue: Low Diameter and Self-routing Bluetooth Scatternet</TITLE>
<LINKS>
<LINK name="PDF" url="65/65.pdf"></LINK>
<LINK name="TXT" url="65/65.txt"></LINK>
<LINK name="HTML" url="65/65.html"></LINK>
<LINK name="XML" url="65/65.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>C.2.1 [Network Architecture and Design]: Wireless communication,Network topology</ITEM>
<ITEM>G.2.2 [Graph Theory]: Network problems,Graph algorithms</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Design</ITEM>
<ITEM>Theory</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Bluetooth networks</ITEM>
<ITEM>scatternet formation</ITEM>
<ITEM>single-hop</ITEM>
<ITEM>low diameter</ITEM>
<ITEM>self-routing</ITEM>
<ITEM>scalable MAC assignment</ITEM>
<ITEM>de Bruijn graph</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="28">
<ITEM>Bruijn graph</ITEM>
<ITEM>Bluetooth</ITEM>
<ITEM>Low Diameter</ITEM>
<ITEM>Self-routing Scatternet</ITEM>
<ITEM>equal traffic</ITEM>
<ITEM>const updating cost</ITEM>
<ITEM>single-hop</ITEM>
<ITEM>ad hoc networks</ITEM>
<ITEM>easy updating</ITEM>
<ITEM>Network topology</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="66">
<TITLE>Development of E-commerce Statistics and the Implications</TITLE>
<LINKS>
<LINK name="PDF" url="66/66.pdf"></LINK>
<LINK name="TXT" url="66/66.txt"></LINK>
<LINK name="HTML" url="66/66.html"></LINK>
<LINK name="XML" url="66/66.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>E-commerce</ITEM>
<ITEM>E-commerce Statistics</ITEM>
<ITEM>Statistical Survey</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="28">
<ITEM>China</ITEM>
<ITEM>Statistics</ITEM>
<ITEM>Survey</ITEM>
<ITEM>E-commerce</ITEM>
<ITEM>Implications</ITEM>
<ITEM>Development stage</ITEM>
<ITEM>Authority</ITEM>
<ITEM>Definition of E-commerce</ITEM>
<ITEM>Statistical methods</ITEM>
<ITEM>Measurement</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="67">
<TITLE>Development through communicative action and information system</TITLE>
<LINKS>
<LINK name="PDF" url="67/67.pdf"></LINK>
<LINK name="TXT" url="67/67.txt"></LINK>
<LINK name="HTML" url="67/67.html"></LINK>
<LINK name="XML" url="67/67.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.4.0 [Information Systems Application]: General</ITEM>
<ITEM>H.1.1 [Information Systems Applications]: Systems and Information Theory—Information theory</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Design</ITEM>
<ITEM>Theory</ITEM>
</GENERAL_TERMS>
<KEYWORDS>
<KEYWORD_SET origin="29">
<ITEM>Structuration theory</ITEM>
<ITEM>communicative action</ITEM>
<ITEM>critical social theory in IS design</ITEM>
<ITEM>interpretative schemes</ITEM>
<ITEM>moral codes or norms</ITEM>
<ITEM>duality of structure</ITEM>
<ITEM>the ideal speech situation</ITEM>
<ITEM>marginalisation</ITEM>
<ITEM>health information systems</ITEM>
<ITEM>conducive environment</ITEM>
<ITEM>community monitoring system</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="68">
<TITLE>Diagnosis of TCP Overlay Connection Failures using Bayesian Networks</TITLE>
<LINKS>
<LINK name="PDF" url="68/68.pdf"></LINK>
<LINK name="TXT" url="68/68.txt"></LINK>
<LINK name="HTML" url="68/68.html"></LINK>
<LINK name="XML" url="68/68.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Bayesian networks</ITEM>
<ITEM>fault diagnosis</ITEM>
<ITEM>passive diagnosis</ITEM>
<ITEM>Planetseer</ITEM>
<ITEM>TCP overlay path diagnosis</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="29">
<ITEM>TCP overlay connections</ITEM>
<ITEM>Bayesian networks modelling</ITEM>
<ITEM>fault diagnosis</ITEM>
<ITEM>passive diagnosis</ITEM>
<ITEM>CoDeeN traffic patterns</ITEM>
<ITEM>active probing for diagnosis</ITEM>
<ITEM>Planetseer overlay monitoring system</ITEM>
<ITEM>TCP overlay path diagnosis</ITEM>
<ITEM>inter-AS TCP failure probabilities</ITEM>
<ITEM>network address translation</ITEM>
<ITEM>NAT</ITEM>
<ITEM>clustering</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="69">
<TITLE>Digital Asset Management Using A Native XML Database Implementation</TITLE>
<LINKS>
<LINK name="PDF" url="69/69.pdf"></LINK>
<LINK name="TXT" url="69/69.txt"></LINK>
<LINK name="HTML" url="69/69.html"></LINK>
<LINK name="XML" url="69/69.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.2.8 [Database Management]: Database Applications – image databases</ITEM>
<ITEM>D.3.2 [Programming Languages]: Language Classifications – extensible languages, XML</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Languages</ITEM>
<ITEM>Performance</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Digital Asset Management</ITEM>
<ITEM>DAM</ITEM>
<ITEM>digital images</ITEM>
<ITEM>XML database</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="30">
<ITEM>native XML</ITEM>
<ITEM>digital asset management</ITEM>
<ITEM>database</ITEM>
<ITEM>multimedia</ITEM>
<ITEM>metadata</ITEM>
<ITEM>keyword search</ITEM>
<ITEM>storage and retrieval</ITEM>
<ITEM>proof of concept</ITEM>
<ITEM>heterogenous data</ITEM>
<ITEM>semi structured data</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="7">
<TITLE>A Fair and Traffic Dependent Scheduling Algorithm for Bluetooth Scatternets</TITLE>
<LINKS>
<LINK name="PDF" url="7/7.pdf"></LINK>
<LINK name="TXT" url="7/7.txt"></LINK>
<LINK name="HTML" url="7/7.html"></LINK>
<LINK name="XML" url="7/7.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Bluetooth</ITEM>
<ITEM>scatternet</ITEM>
<ITEM>scheduling</ITEM>
<ITEM>fairness</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>Scheduling algorithm</ITEM>
<ITEM>Bluetooth </ITEM>
<ITEM>scatternets</ITEM>
<ITEM>piconet</ITEM>
<ITEM>scheduling scheme</ITEM>
<ITEM>fairness</ITEM>
<ITEM>bandwidth utilization</ITEM>
<ITEM>gateway</ITEM>
<ITEM>fair share</ITEM>
<ITEM>master </ITEM>
<ITEM>slave</ITEM>
<ITEM>heuristic</ITEM>
<ITEM>traffic adaptive</ITEM>
<ITEM>traffic rate</ITEM>
<ITEM>changing traffic</ITEM>
<ITEM>polling algorithm</ITEM>
<ITEM>Rendezvous point</ITEM>
<ITEM>Information exchange</ITEM>
<ITEM>Allocation of bandwidth</ITEM>
<ITEM>Scheduling of gateways</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="26">
<ITEM>Bluetooth technology</ITEM>
<ITEM>Scatternet presence fraction</ITEM>
<ITEM>Fair share</ITEM>
<ITEM>Scheduling of gateways</ITEM>
<ITEM>Piconet presence fraction</ITEM>
<ITEM>Round Robin polling</ITEM>
<ITEM>allocation of bandwidth</ITEM>
<ITEM>Rendezvous Point</ITEM>
<ITEM>fairness</ITEM>
<ITEM>virtual slave</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="27">
<ITEM>Blueooth</ITEM>
<ITEM>Scatternet</ITEM>
<ITEM>Piconet</ITEM>
<ITEM>Master unit</ITEM>
<ITEM>Slave unit</ITEM>
<ITEM>Gateway</ITEM>
<ITEM>Round Robin</ITEM>
<ITEM>HOLD mode</ITEM>
<ITEM>Gateway slave traffic</ITEM>
<ITEM>Non-gateway slave traffic</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="28">
<ITEM>Distributed algorithm</ITEM>
<ITEM>Bluetooth</ITEM>
<ITEM>Scatternets</ITEM>
<ITEM>Fairness</ITEM>
<ITEM>Traffic Dependent Scheduling</ITEM>
<ITEM>Time-division multiplex</ITEM>
<ITEM>Efficiency</ITEM>
<ITEM>Non-uniform traffic</ITEM>
<ITEM>HOLD mode</ITEM>
<ITEM>Slaves</ITEM>
<ITEM>Gateway</ITEM>
<ITEM>Rendezvous Points</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="70">
<TITLE>DirectoryRank: Ordering Pages in Web Directories</TITLE>
<LINKS>
<LINK name="PDF" url="70/70.pdf"></LINK>
<LINK name="TXT" url="70/70.txt"></LINK>
<LINK name="HTML" url="70/70.html"></LINK>
<LINK name="XML" url="70/70.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.3 [Information Search and Retrieval]: information filtering,retrieval models</ITEM>
<ITEM>H.3.m [Information Systems]: Miscellaneous</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Design</ITEM>
<ITEM>Experimentation</ITEM>
<ITEM>Measurement</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Web Directory</ITEM>
<ITEM>semantic similarity</ITEM>
<ITEM>ranking</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="30">
<ITEM>ranking metric</ITEM>
<ITEM>information retrieval</ITEM>
<ITEM>lexical chains</ITEM>
<ITEM>web directory</ITEM>
<ITEM>semantic similarities</ITEM>
<ITEM>topic importance</ITEM>
<ITEM>DirectoryRank</ITEM>
<ITEM>PageRank</ITEM>
<ITEM>topic hierachy</ITEM>
<ITEM>scoring</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="71">
<TITLE>Discovering and Ranking Web Services with BASIL: A Personalized Approach with Biased Focus</TITLE>
<LINKS>
<LINK name="PDF" url="71/71.pdf"></LINK>
<LINK name="TXT" url="71/71.txt"></LINK>
<LINK name="HTML" url="71/71.html"></LINK>
<LINK name="XML" url="71/71.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.5 [Online Information Services]: Web-based services</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>data-intensive services</ITEM>
<ITEM>biased discovery</ITEM>
<ITEM>ranking</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>data-intensive web services</ITEM>
<ITEM>web service discovery</ITEM>
<ITEM>ranking</ITEM>
<ITEM>source-biased probing</ITEM>
<ITEM>focal terms</ITEM>
<ITEM>query-biased probing</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="72">
<TITLE>Distance Measures for MPEG-7-based Retrieval</TITLE>
<LINKS>
<LINK name="PDF" url="72/72.pdf"></LINK>
<LINK name="TXT" url="72/72.txt"></LINK>
<LINK name="HTML" url="72/72.html"></LINK>
<LINK name="XML" url="72/72.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval – Information filtering, Query formulation, Retrieval models</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithm</ITEM>
<ITEM>Measurement</ITEM>
<ITEM>Experimentation</ITEM>
<ITEM>Performance</ITEM>
<ITEM>Theory</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Visual Information Retrieval</ITEM>
<ITEM>Content-based Image Retrieval</ITEM>
<ITEM>Content-based Video Retrieval</ITEM>
<ITEM>Similarity Measurement</ITEM>
<ITEM>Distance Measurement</ITEM>
<ITEM>Similarity Perception</ITEM>
<ITEM>MPEG-7</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>distance measure</ITEM>
<ITEM>MPEG-7 descriptors</ITEM>
<ITEM>visual information retrieval</ITEM>
<ITEM>human similarity perception</ITEM>
<ITEM>quantisation</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="73">
<TITLE>Dogs or Robots: Why do Children see them as Robotic Pets rather than Canine Machines?</TITLE>
<LINKS>
<LINK name="PDF" url="73/73.pdf"></LINK>
<LINK name="TXT" url="73/73.txt"></LINK>
<LINK name="HTML" url="73/73.html"></LINK>
<LINK name="XML" url="73/73.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>robots</ITEM>
<ITEM>multi-modal interfaces</ITEM>
<ITEM>human attitudes</ITEM>
<ITEM>zoo-morphological autonomous mobile robots</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="32">
<ITEM>intelligent creatures</ITEM>
<ITEM>interaction</ITEM>
<ITEM>perceived attitude</ITEM>
<ITEM>behavioral science</ITEM>
<ITEM>language</ITEM>
<ITEM>feelings</ITEM>
<ITEM>robot attributes</ITEM>
<ITEM>essence</ITEM>
<ITEM>agency</ITEM>
<ITEM>hci</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="74">
<TITLE>Downloading Textual Hidden Web Content Through Keyword Queries</TITLE>
<LINKS>
<LINK name="PDF" url="74/74.pdf"></LINK>
<LINK name="TXT" url="74/74.txt"></LINK>
<LINK name="HTML" url="74/74.html"></LINK>
<LINK name="XML" url="74/74.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.7 [Information Systems]:Digital Libraries</ITEM>
<ITEM>H.3.1 [Information Systems]: Content Analysis and Indexing</ITEM>
<ITEM>H.3.3 [Information Systems]: Information Search and Retrieval</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Performance</ITEM>
<ITEM>Design</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Hidden Web crawling</ITEM>
<ITEM>Deep Web crawler</ITEM>
<ITEM>keyword queries</ITEM>
<ITEM>adaptive algorithm</ITEM>
<ITEM>query selection</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="32">
<ITEM>hidden web</ITEM>
<ITEM>keyword query</ITEM>
<ITEM>crawler</ITEM>
<ITEM>deep web</ITEM>
<ITEM>potential bias</ITEM>
<ITEM>keyword selection</ITEM>
<ITEM>efficiency</ITEM>
<ITEM>adaptive algorithmn</ITEM>
<ITEM>coverage</ITEM>
<ITEM>accurate language model</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="75">
<TITLE>Easy Language Extension with Meta-AspectJ</TITLE>
<LINKS>
<LINK name="PDF" url="75/75.pdf"></LINK>
<LINK name="TXT" url="75/75.txt"></LINK>
<LINK name="HTML" url="75/75.html"></LINK>
<LINK name="XML" url="75/75.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>D.1.2 [Programming Techniques]: Automatic Programming</ITEM>
<ITEM>D.2.13 [Software Engineering]: Reusable Software</ITEM>
<ITEM>D.3.3 [Programming Languages]: Language Constructs and Features</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>domain-specific languages</ITEM>
<ITEM>language extensions</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>domain-specific languages</ITEM>
<ITEM>language extensions</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>language extension</ITEM>
<ITEM>domain-specific language</ITEM>
<ITEM>Meta-AspectJ</ITEM>
<ITEM>annotation</ITEM>
<ITEM>Java</ITEM>
<ITEM>simplicity</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="76">
<TITLE>Hourly Analysis of a Very Large Topically Categorized Web Query Log</TITLE>
<LINKS>
<LINK name="PDF" url="76/76.pdf"></LINK>
<LINK name="TXT" url="76/76.txt"></LINK>
<LINK name="HTML" url="76/76.html"></LINK>
<LINK name="XML" url="76/76.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.5 [Information Storage and Retrieval]: Online Information Services – Web-based services</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Measurement</ITEM>
<ITEM>Human Factors</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Query Log Analysis</ITEM>
<ITEM>Web Search</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>query log</ITEM>
<ITEM>topical categories</ITEM>
<ITEM>query traffic</ITEM>
<ITEM>log analysis</ITEM>
<ITEM>frequency distribution</ITEM>
<ITEM>query stream</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="77">
<TITLE>Efficient Multi-way Text Categorization via Generalized Discriminant Analysis</TITLE>
<LINKS>
<LINK name="PDF" url="77/77.pdf"></LINK>
<LINK name="TXT" url="77/77.txt"></LINK>
<LINK name="HTML" url="77/77.html"></LINK>
<LINK name="XML" url="77/77.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3 [Information Storage and Retrieval]: Information Search and Retrieva]</ITEM>
<ITEM>I.2 [Artificial Intelligence]: Learning</ITEM>
<ITEM>I.5 [Pattern Recognition]: Applications</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Measurement</ITEM>
<ITEM>Performance</ITEM>
<ITEM>Experimentation</ITEM>
<ITEM>Verification</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Multi-class Text Categorization</ITEM>
<ITEM>GSVD</ITEM>
<ITEM>Discriminant Analysis</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>text categorization</ITEM>
<ITEM>multi-class classification</ITEM>
<ITEM>SVMs</ITEM>
<ITEM>discriminant analysis</ITEM>
<ITEM>GDA</ITEM>
<ITEM>GSVD</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="78">
<TITLE>Efficient Phrase Querying with an Auxiliary Index</TITLE>
<LINKS>
<LINK name="PDF" url="78/78.pdf"></LINK>
<LINK name="TXT" url="78/78.txt"></LINK>
<LINK name="HTML" url="78/78.html"></LINK>
<LINK name="XML" url="78/78.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.4 [Information Storage and Retrieval]: Systems and Software evaluation—(efficiency)</ITEM>
<ITEM>E.2 [Data]: Storage Representations</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>performance</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Indexing</ITEM>
<ITEM>query evaluation</ITEM>
<ITEM>phrase query evaluation</ITEM>
<ITEM>inverted index</ITEM>
<ITEM>nextword index</ITEM>
<ITEM>evaluation efficiency</ITEM>
<ITEM>index representation</ITEM>
<ITEM>stopping</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>phrase query</ITEM>
<ITEM>query evaluation</ITEM>
<ITEM>inverted index</ITEM>
<ITEM>nextword index</ITEM>
<ITEM>common words</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="79">
<TITLE>Efficient retrieval of similar shapes</TITLE>
<LINKS>
<LINK name="PDF" url="79/79.pdf"></LINK>
<LINK name="TXT" url="79/79.txt"></LINK>
<LINK name="HTML" url="79/79.html"></LINK>
<LINK name="XML" url="79/79.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Similarity queries</ITEM>
<ITEM>­ Image databases</ITEM>
<ITEM>­ Shape retrieval ­ Similarity retrieval ­ Fourier descriptors</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="35">
<ITEM>non textual objects</ITEM>
<ITEM>indexing techniques</ITEM>
<ITEM>database</ITEM>
<ITEM>queries</ITEM>
<ITEM>search</ITEM>
<ITEM>handwriting recognition</ITEM>
<ITEM>shape classification</ITEM>
<ITEM>Fourier descriptors</ITEM>
<ITEM>efficiency</ITEM>
<ITEM>fingerprint</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="8">
<TITLE>A Flexible 3D Slicer for Voxelization Using Graphics Hardware</TITLE>
<LINKS>
<LINK name="PDF" url="8/8.pdf"></LINK>
<LINK name="TXT" url="8/8.txt"></LINK>
<LINK name="HTML" url="8/8.html"></LINK>
<LINK name="XML" url="8/8.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>I.3.1 [Computer Graphics]: Hardware Architecture—Graphics processors</ITEM>
<ITEM>I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling—Curve, surface,solid, and object representations</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<AUTHOR_KEYWORDS>
<ITEM>voxelization</ITEM>
<ITEM>GPU</ITEM>
<ITEM>distance transform</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>Voxelization</ITEM>
<ITEM>3D slicer</ITEM>
<ITEM>Graphics hardware</ITEM>
<ITEM>Object representation</ITEM>
<ITEM>Surface representation</ITEM>
<ITEM>Volumetric representation</ITEM>
<ITEM>Modeling</ITEM>
<ITEM>Distance field</ITEM>
<ITEM>Hausdorff distance</ITEM>
<ITEM>Surface voxelization</ITEM>
<ITEM>Rendering</ITEM>
<ITEM>GPU</ITEM>
<ITEM>Polygonal object</ITEM>
<ITEM>Polygonal model</ITEM>
<ITEM>Rendering pipeline</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="29">
<ITEM>voxelization</ITEM>
<ITEM>volumetric representation</ITEM>
<ITEM>distance transform</ITEM>
<ITEM>GPU-based 3D slicer approach</ITEM>
<ITEM>Hausdorff distance</ITEM>
<ITEM>rasterization</ITEM>
<ITEM>infinitude</ITEM>
<ITEM>opacity</ITEM>
<ITEM>Rendering cost</ITEM>
<ITEM>adaptive dense voxelization</ITEM>
<ITEM>geometric representation</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="30">
<ITEM>voxelization</ITEM>
<ITEM>GPU computation</ITEM>
<ITEM>Hausforff distance</ITEM>
<ITEM>Computational Geometry</ITEM>
<ITEM>Computer Graphics</ITEM>
<ITEM>3D modelling</ITEM>
<ITEM>slice-based approach</ITEM>
<ITEM>polygonal model</ITEM>
<ITEM>distance field</ITEM>
<ITEM>pixel shader</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="32">
<ITEM>voxelization</ITEM>
<ITEM>object representation</ITEM>
<ITEM>volume construction</ITEM>
<ITEM>hausdorff distance</ITEM>
<ITEM>slice-based approach</ITEM>
<ITEM>polygonal objects</ITEM>
<ITEM>pixel shader</ITEM>
<ITEM>triangles</ITEM>
<ITEM>rendering</ITEM>
<ITEM>local distance field</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="80">
<TITLE>-Queries: Enabling Querying for Semantic Associations on the Semantic Web</TITLE>
<LINKS>
<LINK name="PDF" url="80/80.pdf"></LINK>
<LINK name="TXT" url="80/80.txt"></LINK>
<LINK name="HTML" url="80/80.html"></LINK>
<LINK name="XML" url="80/80.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.2.3 [Information Systems]: Database Management–Query Languages</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Languages</ITEM>
<ITEM>Theory</ITEM>
<ITEM>Management</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Semantic Web Querying</ITEM>
<ITEM>Semantic Associations</ITEM>
<ITEM>RDF</ITEM>
<ITEM>Complex Data Relationships</ITEM>
<ITEM>graph traversals</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="35">
<ITEM>semantic association</ITEM>
<ITEM>semantic web</ITEM>
<ITEM>relationship</ITEM>
<ITEM>isomorphism</ITEM>
<ITEM>Property Sequence</ITEM>
<ITEM>query processing</ITEM>
<ITEM>analysis</ITEM>
<ITEM>AI</ITEM>
<ITEM>automation</ITEM>
<ITEM>Rooted Directed Path</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="81">
<TITLE>Energy Management Schemes for Memory-Resident Database Systems</TITLE>
<LINKS>
<LINK name="PDF" url="81/81.pdf"></LINK>
<LINK name="TXT" url="81/81.txt"></LINK>
<LINK name="HTML" url="81/81.html"></LINK>
<LINK name="XML" url="81/81.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.2.2 [Database Management]:Physical Design – Access Methods</ITEM>
<ITEM>H.3.2 [Information Storage and Retrieval]: Information Storage</ITEM>
<ITEM>B.3.1 [Memory Structures]: Semiconductor Memories – DRAM</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Design</ITEM>
<ITEM>Performance</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>database</ITEM>
<ITEM>DRAM</ITEM>
<ITEM>energy</ITEM>
<ITEM>hardware energy scheme</ITEM>
<ITEM>power consumption</ITEM>
<ITEM>query-directed energy management</ITEM>
<ITEM>multi-query optimization</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>memory-resident databases</ITEM>
<ITEM>banked memory</ITEM>
<ITEM>energy optimization</ITEM>
<ITEM>query restructuring</ITEM>
<ITEM>low-power modes</ITEM>
<ITEM>query-directed scheme</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="82">
<TITLE>Enforcing Security and Safety Models with an Information Flow Analysis Tool</TITLE>
<LINKS>
<LINK name="PDF" url="82/82.pdf"></LINK>
<LINK name="TXT" url="82/82.txt"></LINK>
<LINK name="HTML" url="82/82.html"></LINK>
<LINK name="XML" url="82/82.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>D2.4 [Software Engineering]: Software/Program verification</ITEM>
<ITEM>F3.1 [Logics and Meanings of Programs]: Specifying and verifying and reasoning about programs</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Design</ITEM>
<ITEM>Measurement</ITEM>
<ITEM>Security</ITEM>
<ITEM>Verification</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Information flow</ITEM>
<ITEM>SPARK Ada</ITEM>
<ITEM>Dolev-Yao</ITEM>
<ITEM>Bell-LaPadula</ITEM>
<ITEM>security</ITEM>
<ITEM>safety</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>security level</ITEM>
<ITEM>SPARK</ITEM>
<ITEM>information flow</ITEM>
<ITEM>subprogram</ITEM>
<ITEM>safety</ITEM>
<ITEM>integrity</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="83">
<TITLE>Entropy and Self-Organization in Multi-Agent Systems</TITLE>
<LINKS>
<LINK name="PDF" url="83/83.pdf"></LINK>
<LINK name="TXT" url="83/83.txt"></LINK>
<LINK name="HTML" url="83/83.html"></LINK>
<LINK name="XML" url="83/83.xml"></LINK>
</LINKS>
<AUTHOR_KEYWORDS>
<ITEM>Self-Organization</ITEM>
<ITEM>Pheromones</ITEM>
<ITEM>Entropy</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>self-organization</ITEM>
<ITEM>multi-agent system</ITEM>
<ITEM>entropy</ITEM>
<ITEM>autonomy</ITEM>
<ITEM>thermodynamic</ITEM>
<ITEM>coordination</ITEM>
<ITEM>pheromones</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="84">
<TITLE>Entropy-based Sensor Selection Heuristic for Target Localization</TITLE>
<LINKS>
<LINK name="PDF" url="84/84.pdf"></LINK>
<LINK name="TXT" url="84/84.txt"></LINK>
<LINK name="HTML" url="84/84.html"></LINK>
<LINK name="XML" url="84/84.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.1.1 [MODELS AND PRINCIPLES]: Systems and Information Theory—Information theory</ITEM>
<ITEM>C.2.4 [COMPUTERCOMMUNICATION NETWORKS]: Distributed Systems - Distributed applications</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Management</ITEM>
<ITEM>Theory</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>sensor selection</ITEM>
<ITEM>information-directed resource management</ITEM>
<ITEM>information fusion</ITEM>
<ITEM>target localization</ITEM>
<ITEM>target tracking</ITEM>
<ITEM>wireless sensor networks</ITEM>
<ITEM>mutual information</ITEM>
<ITEM>Shannon entropy</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>entropy</ITEM>
<ITEM>sensor selection</ITEM>
<ITEM>heuristic</ITEM>
<ITEM>localization</ITEM>
<ITEM>mutual information</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="85">
<TITLE>Estimating the Global PageRank of Web Communities</TITLE>
<LINKS>
<LINK name="PDF" url="85/85.pdf"></LINK>
<LINK name="TXT" url="85/85.txt"></LINK>
<LINK name="HTML" url="85/85.html"></LINK>
<LINK name="XML" url="85/85.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval</ITEM>
<ITEM>G.1.3 [Numerical Analysis]: Numerical Linear Algebra</ITEM>
<ITEM>G.3 [Probability and Statistics]: Markov Processes</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>PageRank</ITEM>
<ITEM>Markov Chain</ITEM>
<ITEM>Stochastic Complementation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Algorithms</ITEM>
<ITEM>Experimentation</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>global PageRank</ITEM>
<ITEM>localized search engines</ITEM>
<ITEM>crawling</ITEM>
<ITEM>node selection</ITEM>
<ITEM>site specific domain</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="86">
<TITLE>Evaluating Similarity Measures: A Large-Scale Study in the Orkut Social Network</TITLE>
<LINKS>
<LINK name="PDF" url="86/86.pdf"></LINK>
<LINK name="TXT" url="86/86.txt"></LINK>
<LINK name="HTML" url="86/86.html"></LINK>
<LINK name="XML" url="86/86.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.2.8 [Database Management]: Database Applications - data mining</ITEM>
<ITEM>H.3.5 [Information Storage and Retrieval]: Online Information Services</ITEM>
<ITEM>I.5 [Computing Methodologies]: Pattern Recognition</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>measurement</ITEM>
<ITEM>human factors</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Data mining</ITEM>
<ITEM>collaborative filtering</ITEM>
<ITEM>recommender system</ITEM>
<ITEM>similarity measure</ITEM>
<ITEM>online communities</ITEM>
<ITEM>social networks</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>similarity measure</ITEM>
<ITEM>collaborative filtering</ITEM>
<ITEM>social network</ITEM>
<ITEM>community</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="87">
<TITLE>Evaluation and Evolution of a Browse and Search Interface: Relation Browser++</TITLE>
<LINKS>
<LINK name="PDF" url="87/87.pdf"></LINK>
<LINK name="TXT" url="87/87.txt"></LINK>
<LINK name="HTML" url="87/87.html"></LINK>
<LINK name="XML" url="87/87.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.5.2 [Information Interfaces and presentation (e.g. HCI)]:User Interface - interaction style, graphical user interfaces GUI)</ITEM>
<ITEM>H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval - query formulation,search process, selection process</ITEM>
<ITEM>H.3.7 [Information Storage and Retrieval]: Digital Libraries – User issues, Systems issues</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Design</ITEM>
<ITEM>Human Factors</ITEM>
<ITEM>Experimentation</ITEM>
<ITEM>Performance</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Interface design</ITEM>
<ITEM>search</ITEM>
<ITEM>browse</ITEM>
<ITEM>category overview</ITEM>
<ITEM>visualization</ITEM>
<ITEM>dynamic query</ITEM>
<ITEM>interactive system</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>RB++</ITEM>
<ITEM>user interface</ITEM>
<ITEM>visual display</ITEM>
<ITEM>searching</ITEM>
<ITEM>browsing</ITEM>
<ITEM>facets</ITEM>
<ITEM>user study</ITEM>
<ITEM>satisfaction</ITEM>
<ITEM>efficiency</ITEM>
<ITEM>effectiveness</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="39">
<ITEM>User interface</ITEM>
<ITEM>Human Factor</ITEM>
<ITEM>information search</ITEM>
<ITEM>information browsing</ITEM>
<ITEM>Browse and Search Interface</ITEM>
<ITEM>Relation Browser++</ITEM>
<ITEM>Information Storage and Retrieval</ITEM>
<ITEM>Faceted category structure</ITEM>
<ITEM>effectiveness</ITEM>
<ITEM>efficiency</ITEM>
<ITEM>user satisfaction</ITEM>
<ITEM>Modeling User Interaction</ITEM>
<ITEM>interaction patterns with interface</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="88">
<TITLE>Event Threading within News Topics</TITLE>
<LINKS>
<LINK name="PDF" url="88/88.pdf"></LINK>
<LINK name="TXT" url="88/88.txt"></LINK>
<LINK name="HTML" url="88/88.html"></LINK>
<LINK name="XML" url="88/88.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.3 [Information Search and Retrieval]: Clustering</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Experimentation</ITEM>
<ITEM>Measurement</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Event</ITEM>
<ITEM>dependency</ITEM>
<ITEM>threading</ITEM>
<ITEM>clustering</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="39">
<ITEM>Intelligent Information Retrieval</ITEM>
<ITEM>Event Threading</ITEM>
<ITEM>News topic modeling</ITEM>
<ITEM>meaningful and efficient analysis and presentation of news</ITEM>
<ITEM>information searching</ITEM>
<ITEM>Information browsing and organization</ITEM>
<ITEM>Topic detection and tracking</ITEM>
<ITEM>Agglomerative clustering with time decay</ITEM>
<ITEM>Dependency modeling</ITEM>
<ITEM>temporal localization of news stories</ITEM>
<ITEM>Nearest Parent Model</ITEM>
<ITEM>Complete-Link model</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="89">
<TITLE>Evolutionary Learning with Kernels: A Generic Solution for Large Margin Problems</TITLE>
<LINKS>
<LINK name="PDF" url="89/89.pdf"></LINK>
<LINK name="TXT" url="89/89.txt"></LINK>
<LINK name="HTML" url="89/89.html"></LINK>
<LINK name="XML" url="89/89.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>I.2.6 [Computing Methodologies]: Learning</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Theory</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Support vector machines</ITEM>
<ITEM>machine learning</ITEM>
<ITEM>kernel methods</ITEM>
<ITEM>evolution strategies</ITEM>
<ITEM>particle swarms</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>evolutionary computation</ITEM>
<ITEM>kernels</ITEM>
<ITEM>SVM</ITEM>
<ITEM>statistical learning theory</ITEM>
<ITEM>large margin</ITEM>
<ITEM>hybrid mutation</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="9">
<TITLE>A Flexible and Extensible Object Middleware: CORBA and Beyond</TITLE>
<LINKS>
<LINK name="PDF" url="9/9.pdf"></LINK>
<LINK name="TXT" url="9/9.txt"></LINK>
<LINK name="HTML" url="9/9.html"></LINK>
<LINK name="XML" url="9/9.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>D.1.5 [Programming Techniques]: Object-oriented Programming</ITEM>
<ITEM>D.2.7 [Software Engineering]: Distribution, Maintenance,and Enhancement - extensibility, portability</ITEM>
<ITEM>D.2.12 [Software Engineering]: Interoperability - distributed objects</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Design</ITEM>
<ITEM>Management</ITEM>
<ITEM>Standardization</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Software architecture for middleware</ITEM>
<ITEM>extensible and reconfigurable middleware</ITEM>
<ITEM>middleware interoperability</ITEM>
<ITEM>CORBA</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>CORBA</ITEM>
<ITEM>Middleware systems</ITEM>
<ITEM>Middleware</ITEM>
<ITEM>Profile manager</ITEM>
<ITEM>Distiributed applications</ITEM>
<ITEM>Interoperability</ITEM>
<ITEM>IOR</ITEM>
<ITEM>Extensions</ITEM>
<ITEM>Object references</ITEM>
<ITEM>Fault tolerant CORBA</ITEM>
<ITEM>Reference manager</ITEM>
<ITEM>Ubiquitous computing</ITEM>
<ITEM>Flexible and extensible object middleware</ITEM>
<ITEM>Flexibility</ITEM>
<ITEM>Extensibility</ITEM>
<ITEM>Remote object</ITEM>
<ITEM>Middleware architecture</ITEM>
<ITEM>Middleware platform</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="35">
<ITEM>CORBA</ITEM>
<ITEM>middleware architecture</ITEM>
<ITEM>distributed objects</ITEM>
<ITEM>profile manager</ITEM>
<ITEM>extensibility</ITEM>
<ITEM>encapsulation</ITEM>
<ITEM>integration</ITEM>
<ITEM>implementation</ITEM>
<ITEM>object oriented</ITEM>
<ITEM>IIOP</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="90">
<TITLE>Fan-out Measuring Human Control of Multiple Robots</TITLE>
<LINKS>
<LINK name="PDF" url="90/90.pdf"></LINK>
<LINK name="TXT" url="90/90.txt"></LINK>
<LINK name="HTML" url="90/90.html"></LINK>
<LINK name="XML" url="90/90.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H5.2 – User Interfaces, I2.9 - Robotics</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<AUTHOR_KEYWORDS>
<ITEM>Human-robot interaction</ITEM>
<ITEM>multiple robots</ITEM>
<ITEM>fan-out</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>human-robot interaction</ITEM>
<ITEM>fan-out equation</ITEM>
<ITEM>interaction time</ITEM>
<ITEM>interaction effort</ITEM>
<ITEM>user interface</ITEM>
<ITEM>activity time</ITEM>
<ITEM>neglect time</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="91">
<TITLE>Fast String Sorting Using Order-Preserving</TITLE>
<LINKS>
<LINK name="PDF" url="91/91.pdf"></LINK>
<LINK name="TXT" url="91/91.txt"></LINK>
<LINK name="HTML" url="91/91.html"></LINK>
<LINK name="XML" url="91/91.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>E.2 [Data Storage]: Contiguous Representations,Object Representations</ITEM>
<ITEM>E.4 [Coding and Information Theory]: Data Compaction and Compression</ITEM>
<ITEM>F.2.0 [Analysis of Algorithms and Problem Complexity]: General</ITEM>
<ITEM>H.3.2 [Information Storage] : File Organization</ITEM>
<ITEM>H.3.2 [Information Search and Retrieval]: Search process</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Experimentation</ITEM>
<ITEM>Performance</ITEM>
</GENERAL_TERMS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>String sorting</ITEM>
<ITEM>Order-preserving compression scheme</ITEM>
<ITEM>Sorting algorithms</ITEM>
<ITEM>Keys of bounded length</ITEM>
<ITEM>data collection</ITEM>
<ITEM>word-RAM sorting algorithm</ITEM>
<ITEM>random access</ITEM>
<ITEM>linear time algorithm</ITEM>
<ITEM>compression scheme</ITEM>
<ITEM>compression ratio</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="92">
<TITLE>FBRAM: A new Form of Memory Optimized for 3D Graphics</TITLE>
<LINKS>
<LINK name="PDF" url="92/92.pdf"></LINK>
<LINK name="TXT" url="92/92.txt"></LINK>
<LINK name="HTML" url="92/92.html"></LINK>
<LINK name="XML" url="92/92.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>I.3.1 [Computer Graphics]: Hardware Architecture</ITEM>
<ITEM>I.3.3 [Computer Graphics]: Picture/Image Generation Display algorithms</ITEM>
<ITEM>I.3.7 [Computer Graphics]: Three Dimensional Graphics and Realism</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<AUTHOR_KEYWORDS>
<ITEM>3D graphics hardware</ITEM>
<ITEM>rendering</ITEM>
<ITEM>parallel graphics algorithms</ITEM>
<ITEM>dynamic memory</ITEM>
<ITEM>caching</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>FBRAM</ITEM>
<ITEM>3D graphics</ITEM>
<ITEM>Z buffer</ITEM>
<ITEM>Acceleration</ITEM>
<ITEM>DRAM</ITEM>
<ITEM>VRAM</ITEM>
<ITEM>Video output bandwidth</ITEM>
<ITEM>Frame buffer</ITEM>
<ITEM>Rendering rate</ITEM>
<ITEM>Pixel Cache</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="42">
<ITEM>FBRAM</ITEM>
<ITEM>memory</ITEM>
<ITEM>graphics</ITEM>
<ITEM>Z-buffer</ITEM>
<ITEM>pixel processing</ITEM>
<ITEM>DRAM</ITEM>
<ITEM>pixel caching</ITEM>
<ITEM>VRAM</ITEM>
<ITEM>SRAM</ITEM>
<ITEM>Z-compare</ITEM>
<ITEM>RGBa blend</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="48">
<ITEM>Dynamic random access memory</ITEM>
<ITEM>Z-buffering</ITEM>
<ITEM>Pixel processing</ITEM>
<ITEM>Optimisation</ITEM>
<ITEM>FBRam</ITEM>
<ITEM>Frame buffer</ITEM>
<ITEM>Video buffers</ITEM>
<ITEM>3D graphics</ITEM>
<ITEM>Dynamic memory chips</ITEM>
<ITEM>Caches</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="94">
<TITLE>Focused Named Entity Recognition Using Machine Learning</TITLE>
<LINKS>
<LINK name="PDF" url="94/94.pdf"></LINK>
<LINK name="TXT" url="94/94.txt"></LINK>
<LINK name="HTML" url="94/94.html"></LINK>
<LINK name="XML" url="94/94.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>I.2.7 [Artificial Intelligence]: Natural language Processing - Text Analysis</ITEM>
<ITEM>H.3.1 [Information Storage And Retrieval]: Content Analysis and Indexing—Linguistic processing</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>naive Bayes</ITEM>
<ITEM>decision tree</ITEM>
<ITEM>robust risk minimization</ITEM>
<ITEM>text summarization</ITEM>
<ITEM>topic identification</ITEM>
<ITEM>information retrieval</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>Focused named entity recognition</ITEM>
<ITEM>Statistical model</ITEM>
<ITEM>Natural language processing applications</ITEM>
<ITEM>Linguistic features</ITEM>
<ITEM>Machine learning approach</ITEM>
<ITEM>Main topics</ITEM>
<ITEM>Summarization</ITEM>
<ITEM>Information retrieval</ITEM>
<ITEM>Classification methods</ITEM>
<ITEM>Features</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="54">
<ITEM>entity recognition</ITEM>
<ITEM>electronic documents</ITEM>
<ITEM>sentence extraction</ITEM>
<ITEM>named entities</ITEM>
<ITEM>automatic summarization</ITEM>
<ITEM>ranking</ITEM>
<ITEM>machine learning</ITEM>
<ITEM>natural language processing</ITEM>
<ITEM>classification model</ITEM>
<ITEM>information retrieval</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="95">
<TITLE>Formally Deriving an STG Machine</TITLE>
<LINKS>
<LINK name="PDF" url="95/95.pdf"></LINK>
<LINK name="TXT" url="95/95.txt"></LINK>
<LINK name="HTML" url="95/95.html"></LINK>
<LINK name="XML" url="95/95.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>D.3.1 [Programming Languages]: Formal Definitions and Theory—semantics, syntax</ITEM>
<ITEM>D.3.2 [Programming Languages]: Language Classifications—applicative (functional) languages</ITEM>
<ITEM>D.3.4 [Programming Languages]: Processors - code generation, compilers</ITEM>
<ITEM>F.3.2 [Logics and meanings of programs]: Semantics of Programming Languages—operational semantics</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Theory</ITEM>
<ITEM>Languages</ITEM>
<ITEM>Verification</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Functional programming</ITEM>
<ITEM>abstract machines</ITEM>
<ITEM>operational semantics</ITEM>
<ITEM>compiler verification</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>STG machine</ITEM>
<ITEM>Haskell compiler</ITEM>
<ITEM>Lazy evaluation</ITEM>
<ITEM>Operational semantics</ITEM>
<ITEM>Closures</ITEM>
<ITEM>Abstract machine</ITEM>
<ITEM>Stepwise derivation</ITEM>
<ITEM>Translation scheme</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="96">
<TITLE>Building Bridges for Web Query Classification</TITLE>
<LINKS>
<LINK name="PDF" url="96/96.pdf"></LINK>
<LINK name="TXT" url="96/96.txt"></LINK>
<LINK name="HTML" url="96/96.html"></LINK>
<LINK name="XML" url="96/96.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.3.m [Information Storage and Retrieval]: Miscellaneous</ITEM>
<ITEM>I.5.2 [Pattern Recognition]: Design Methodology - Classifier design and evaluation</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Algorithms</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Web Query Classification</ITEM>
<ITEM>Bridging Classifier</ITEM>
<ITEM>Category Selection</ITEM>
<ITEM>KDDCUP 2005</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>Query classification</ITEM>
<ITEM>Taxonomy</ITEM>
<ITEM>Bridging classifier</ITEM>
<ITEM>Similarity distribution</ITEM>
<ITEM>Category selection</ITEM>
<ITEM>Target categories</ITEM>
<ITEM>Intermediate categories</ITEM>
<ITEM>Query enrichment</ITEM>
<ITEM>Mapping functions</ITEM>
<ITEM>Matching approaches</ITEM>
<ITEM>Search engine</ITEM>
<ITEM>Ensemble classifier</ITEM>
<ITEM>KDDCUP 2005</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="97">
<TITLE>Geographically Focused Collaborative Crawling</TITLE>
<LINKS>
<LINK name="PDF" url="97/97.pdf"></LINK>
<LINK name="TXT" url="97/97.txt"></LINK>
<LINK name="HTML" url="97/97.html"></LINK>
<LINK name="XML" url="97/97.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>H.4.m [Information Systems]: Miscellaneous</ITEM>
<ITEM>D.2.8 [Software Engineering]: Metrics|performance measures</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Measurement</ITEM>
<ITEM>Performance</ITEM>
<ITEM>Experimentation</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Collaborative crawling</ITEM>
<ITEM>geographically focused crawling</ITEM>
<ITEM>geographic entities</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>Collaborative crawler</ITEM>
<ITEM>Focused crawler</ITEM>
<ITEM>Search localization</ITEM>
<ITEM>Crawling strategies</ITEM>
<ITEM>Geographically focused crawling</ITEM>
<ITEM>Evaluation criteria</ITEM>
<ITEM>Geographic locality</ITEM>
<ITEM>Search engine</ITEM>
<ITEM>Anchor text</ITEM>
<ITEM>Scalability</ITEM>
<ITEM>Extracted URL</ITEM>
<ITEM>Hash based collaboration</ITEM>
<ITEM>URL based</ITEM>
<ITEM>Full Content based</ITEM>
<ITEM>IP address based</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="67">
<ITEM>collaborative crawling</ITEM>
<ITEM>geographical nodes</ITEM>
<ITEM>Normalization and Disambiguation of City Names</ITEM>
<ITEM>Problems of aliasing and ambiguity</ITEM>
<ITEM>Geo-coverage</ITEM>
<ITEM>Geo-focus</ITEM>
<ITEM>Quality issue</ITEM>
<ITEM>crawling strategies</ITEM>
<ITEM>pattern matching</ITEM>
<ITEM>Geographic Locality</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="98">
<TITLE>GraalBench: A 3D Graphics Benchmark Suite for Mobile Phones</TITLE>
<LINKS>
<LINK name="PDF" url="98/98.pdf"></LINK>
<LINK name="TXT" url="98/98.txt"></LINK>
<LINK name="HTML" url="98/98.html"></LINK>
<LINK name="XML" url="98/98.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>C.3 [Special-Purpose and Application-Based Systems]: Realtime and embedded systems</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Performance</ITEM>
<ITEM>Measurement</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>3D graphics benchmarking</ITEM>
<ITEM>embedded 3D graphics architectures</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>GraalBench</ITEM>
<ITEM>3D graphics benchmarks</ITEM>
<ITEM>Mobile environments</ITEM>
<ITEM>Mobile devices</ITEM>
<ITEM>3D graphics applications</ITEM>
<ITEM>accelerators</ITEM>
<ITEM>workload characterization</ITEM>
<ITEM>embedded 3D graphics</ITEM>
<ITEM>bottlenecks</ITEM>
<ITEM>pipeline</ITEM>
<ITEM>transform and lighting</ITEM>
<ITEM>rasterization</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="70">
<ITEM>3D graphics</ITEM>
<ITEM>mobile phones</ITEM>
<ITEM>benchmark</ITEM>
<ITEM>real-time</ITEM>
<ITEM>embedded systems</ITEM>
<ITEM>Graalbench</ITEM>
<ITEM>performance</ITEM>
<ITEM>measurement</ITEM>
<ITEM>rasterization</ITEM>
<ITEM>API</ITEM>
<ITEM>openGL</ITEM>
</KEYWORD_SET>
<KEYWORD_SET origin="71">
<ITEM>3D graphics</ITEM>
<ITEM>benchmark</ITEM>
<ITEM>mobile phones</ITEM>
<ITEM>OpenGL</ITEM>
<ITEM>statistics</ITEM>
<ITEM>workload</ITEM>
<ITEM>triangles</ITEM>
<ITEM>unit</ITEM>
<ITEM>mechanism</ITEM>
<ITEM>architecture</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
<DOC ID="99">
<TITLE>Handoff Trigger Table for Integrated 3G/WLAN Networks</TITLE>
<LINKS>
<LINK name="PDF" url="99/99.pdf"></LINK>
<LINK name="TXT" url="99/99.txt"></LINK>
<LINK name="HTML" url="99/99.html"></LINK>
<LINK name="XML" url="99/99.xml"></LINK>
</LINKS>
<CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<ITEM>C.4 [Performance of Systems]: Design Studies</ITEM>
<ITEM>C.2.1 [Network Architecture and Design]: Wireless Communications - Integrated 3G/WLAN Networks</ITEM>
</CATEGORIES_AND_SUBJECT_DESCRIPTORS>
<GENERAL_TERMS>
<ITEM>Performance</ITEM>
</GENERAL_TERMS>
<AUTHOR_KEYWORDS>
<ITEM>Wireless communications</ITEM>
<ITEM>vertical handoff</ITEM>
<ITEM>WLAN</ITEM>
<ITEM>3G</ITEM>
<ITEM>integrated networks</ITEM>
</AUTHOR_KEYWORDS>
<KEYWORDS>
<KEYWORD_SET origin="0">
<ITEM>vertical handoff</ITEM>
<ITEM>WLAN</ITEM>
<ITEM>cellular network</ITEM>
<ITEM>Handoff trigger table</ITEM>
<ITEM>wireles networks</ITEM>
</KEYWORD_SET>
</KEYWORDS>
</DOC>
</CORPUS>
