Discovering Characteristic Individual Accessing Behaviors in Web Environment
Identifieur interne : 001158 ( Istex/Corpus ); précédent : 001157; suivant : 001159Discovering Characteristic Individual Accessing Behaviors in Web Environment
Auteurs : Long Wang ; Christoph Meinel ; Chunnian LiuSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2005.
Abstract
Abstract: Discovering diverse individual accessing behaviors in web environment is required before mining the valuable patterns from behaviors of groups of visitors. In this paper, we investigate the data preparation in web usage mining, and especially focus on discovering characteristic individual accessing behaviors and give a systematic and formalized study on this topic. Based on the target usage patterns, individual user behavior through the web site can be discovered into five different categories: granular accessing behavior, linear sequential behavior, tree structure behavior, acyclic routing behavior and cyclic routing behavior. We also give different algorithms for discovering different kinds of behaviors. The experimental studies show that our discovery of individual behavior is very useful and necessary in web usage mining.
Url:
DOI: 10.1007/11548706_49
Links to Exploration step
ISTEX:4CCFFDE97F4822101198626035CD1732D20EE435Le document en format XML
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In this paper, we investigate the data preparation in web usage mining, and especially focus on discovering characteristic individual accessing behaviors and give a systematic and formalized study on this topic. Based on the target usage patterns, individual user behavior through the web site can be discovered into five different categories: granular accessing behavior, linear sequential behavior, tree structure behavior, acyclic routing behavior and cyclic routing behavior. We also give different algorithms for discovering different kinds of behaviors. The experimental studies show that our discovery of individual behavior is very useful and necessary in web usage mining.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Long Wang</name><affiliations><json:string>Computer Science Department, Trier University, Campus II, 54296, Trier, Germany</json:string><json:string>Hasso Plattner Institut, Potsdam University, 14482, Potsdam, Germany</json:string><json:string>E-mail: Long.wang@hpi.uni-potsdam.de</json:string></affiliations></json:item><json:item><name>Christoph Meinel</name><affiliations><json:string>Hasso Plattner Institut, Potsdam University, 14482, Potsdam, Germany</json:string><json:string>E-mail: Meinel@hpi.uni-potsdam.de</json:string></affiliations></json:item><json:item><name>Chunnian Liu</name><affiliations><json:string>Beijing Municipal Key Lab. of Multimedia and Intelligent Software Technology, Beijing University of Technology, 100022, Beijing, China</json:string><json:string>E-mail: cslcn@but.edu.cn</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><originalGenre><json:string>OriginalPaper</json:string></originalGenre><abstract>Abstract: Discovering diverse individual accessing behaviors in web environment is required before mining the valuable patterns from behaviors of groups of visitors. 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type="first">Xiaohua</forename><surname>Hu</surname></persName><email>thu@cis.drexel.edu</email><affiliation>College of Computer and Information Engineering, Hehan University, Henan, China</affiliation></editor><imprint><publisher>Springer Berlin Heidelberg</publisher><pubPlace>Berlin, Heidelberg</pubPlace><date type="published" when="2005"></date><biblScope unit="volume">3642</biblScope><biblScope unit="page" from="466">466</biblScope><biblScope unit="page" to="476">476</biblScope></imprint></monogr><series><title level="s">Lecture Notes in Computer Science</title><editor><persName><forename type="first">David</forename><surname>Hutchison</surname></persName><affiliation>Lancaster University, UK</affiliation></editor><editor><persName><forename type="first">Takeo</forename><surname>Kanade</surname></persName><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation></editor><editor><persName><forename 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type="first">Y.</forename><surname>Vardi</surname></persName><affiliation>Rice University, Houston, TX, USA</affiliation></editor><editor><persName><forename type="first">Gerhard</forename><surname>Weikum</surname></persName><affiliation>Max-Planck Institute of Computer Science, Saarbruecken, Germany</affiliation></editor><biblScope><date>2005</date></biblScope><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="series-Id">558</idno></series><series><title level="s">Lecture Notes in Artificial Intelligence</title><editor><persName><forename type="first">David</forename><surname>Hutchison</surname></persName><affiliation>Lancaster University, UK</affiliation></editor><editor><persName><forename type="first">Takeo</forename><surname>Kanade</surname></persName><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation></editor><editor><persName><forename type="first">Josef</forename><surname>Kittler</surname></persName><affiliation>University of Surrey, Guildford, UK</affiliation></editor><editor><persName><forename type="first">Jon</forename><forename type="first">M.</forename><surname>Kleinberg</surname></persName><affiliation>Cornell University, Ithaca, NY, USA</affiliation></editor><editor><persName><forename type="first">Friedemann</forename><surname>Mattern</surname></persName><affiliation>ETH Zurich, Switzerland</affiliation></editor><editor><persName><forename type="first">John</forename><forename type="first">C.</forename><surname>Mitchell</surname></persName><affiliation>Stanford University, CA, USA</affiliation></editor><editor><persName><forename type="first">Moni</forename><surname>Naor</surname></persName><affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation></editor><editor><persName><forename type="first">Oscar</forename><surname>Nierstrasz</surname></persName><affiliation>University of Bern, Switzerland</affiliation></editor><editor><persName><forename type="first">C.</forename><surname>Pandu Rangan</surname></persName><affiliation>Indian Institute of Technology, Madras, India</affiliation></editor><editor><persName><forename type="first">Bernhard</forename><surname>Steffen</surname></persName><affiliation>University of Dortmund, Germany</affiliation></editor><editor><persName><forename type="first">Madhu</forename><surname>Sudan</surname></persName><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation></editor><editor><persName><forename type="first">Demetri</forename><surname>Terzopoulos</surname></persName><affiliation>New York University, NY, USA</affiliation></editor><editor><persName><forename type="first">Dough</forename><surname>Tygar</surname></persName><affiliation>University of California, Berkeley, CA, USA</affiliation></editor><editor><persName><forename type="first">Moshe</forename><forename type="first">Y.</forename><surname>Vardi</surname></persName><affiliation>Rice University, Houston, TX, USA</affiliation></editor><editor><persName><forename type="first">Gerhard</forename><surname>Weikum</surname></persName><affiliation>Max-Planck Institute of Computer Science, Saarbruecken, Germany</affiliation></editor><editor><persName><forename type="first">Jaime</forename><forename type="first">G.</forename><surname>Carbonell</surname></persName><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation></editor><editor><persName><forename type="first">Jörg</forename><surname>Siekmann</surname></persName><affiliation>University of Saarland, Saarbrücken, Germany</affiliation></editor><editor><persName><forename type="first">Dominik</forename><surname>Ślęzak</surname></persName><email>slezak@infobright.com</email><affiliation>Department of Computer Science, University of Regina, Regina, SK, S4S 0A2 Canada, Polish-Japanese Institute of Information Technology, Koszykowa 86, 02-008 Warsaw, P.O. Box, Poland</affiliation></editor><editor><persName><forename type="first">JingTao</forename><surname>Yao</surname></persName><email>jtyao@cs.uregina.ca</email><affiliation>Department of Computer Science, University of Regina, S4S 0A2, Regina, Saskatchewan, Canada</affiliation></editor><editor><persName><forename type="first">James</forename><forename type="first">F.</forename><surname>Peters</surname></persName><email>jfpeters@ee.umanitoba.ca</email><affiliation>Department of Electrical and Computer Engineering, University of Manitoba, R3T 5V6, Winnipeg, Manitoba, Canada</affiliation></editor><editor><persName><forename type="first">Wojciech</forename><surname>Ziarko</surname></persName><email>ziarko@cs.uregina.ca</email><affiliation>Department of Computer Science, University of Regina, S4S 0A2, Regina, Saskatchewan, Canada</affiliation></editor><editor><persName><forename type="first">Xiaohua</forename><surname>Hu</surname></persName><email>thu@cis.drexel.edu</email><affiliation>College of Computer and Information Engineering, Hehan University, Henan, China</affiliation></editor><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><biblScope unit="seriesId">1244</biblScope></series><idno type="istex">4CCFFDE97F4822101198626035CD1732D20EE435</idno><idno type="DOI">10.1007/11548706_49</idno><idno type="ChapterID">49</idno><idno type="ChapterID">Chap49</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2005</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Abstract: Discovering diverse individual accessing behaviors in web environment is required before mining the valuable patterns from behaviors of groups of visitors. In this paper, we investigate the data preparation in web usage mining, and especially focus on discovering characteristic individual accessing behaviors and give a systematic and formalized study on this topic. Based on the target usage patterns, individual user behavior through the web site can be discovered into five different categories: granular accessing behavior, linear sequential behavior, tree structure behavior, acyclic routing behavior and cyclic routing behavior. We also give different algorithms for discovering different kinds of behaviors. The experimental studies show that our discovery of individual behavior is very useful and necessary in web usage mining.</p></abstract><textClass><keywords scheme="Book-Subject-Collection"><list><label>SUCO11645</label><item><term>Computer Science</term></item></list></keywords></textClass><textClass><keywords scheme="Book-Subject-Group"><list><label>I</label><label>I21017</label><label>I18032</label><label>I18024</label><label>I16048</label><label>I16013</label><label>I2203X</label><item><term>Computer Science</term></item><item><term>Artificial Intelligence (incl. Robotics)</term></item><item><term>Information Storage and Retrieval</term></item><item><term>Database Management</term></item><item><term>Mathematical Logic and Formal Languages</term></item><item><term>Computation by Abstract Devices</term></item><item><term>Pattern Recognition</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2005">Published</change><change xml:id="refBibs-istex" who="#ISTEX-API" when="2016-11-22">References added</change><change xml:id="refBibs-istex" who="#ISTEX-API" when="2017-01-20">References added</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/4CCFFDE97F4822101198626035CD1732D20EE435/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Springer, Publisher found" wicri:toSee="no header"><istex:xmlDeclaration>version="1.0" 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Robotics)</BookSubject><BookSubject Type="Secondary" Priority="2" Code="I18032">Information Storage and Retrieval</BookSubject><BookSubject Type="Secondary" Priority="3" Code="I18024">Database Management</BookSubject><BookSubject Type="Secondary" Priority="4" Code="I16048">Mathematical Logic and Formal Languages</BookSubject><BookSubject Type="Secondary" Priority="5" Code="I16013">Computation by Abstract Devices</BookSubject><BookSubject Type="Secondary" Priority="6" Code="I2203X">Pattern Recognition</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID><SubSeriesID>1244</SubSeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Dominik</GivenName><FamilyName>Ślęzak</FamilyName></EditorName><Contact><Email>slezak@infobright.com</Email></Contact></Editor><Editor AffiliationIDS="Aff19"><EditorName DisplayOrder="Western"><GivenName>JingTao</GivenName><FamilyName>Yao</FamilyName></EditorName><Contact><Email>jtyao@cs.uregina.ca</Email></Contact></Editor><Editor AffiliationIDS="Aff20"><EditorName DisplayOrder="Western"><GivenName>James</GivenName><GivenName>F.</GivenName><FamilyName>Peters</FamilyName></EditorName><Contact><Email>jfpeters@ee.umanitoba.ca</Email></Contact></Editor><Editor AffiliationIDS="Aff19"><EditorName DisplayOrder="Western"><GivenName>Wojciech</GivenName><FamilyName>Ziarko</FamilyName></EditorName><Contact><Email>ziarko@cs.uregina.ca</Email></Contact></Editor><Editor AffiliationIDS="Aff21"><EditorName DisplayOrder="Western"><GivenName>Xiaohua</GivenName><FamilyName>Hu</FamilyName></EditorName><Contact><Email>thu@cis.drexel.edu</Email></Contact></Editor><Affiliation ID="Aff18"><OrgName>Department of Computer Science, University of Regina, Regina, SK, S4S 0A2 Canada, Polish-Japanese Institute of Information Technology, Koszykowa 86, 02-008 Warsaw, P.O. Box</OrgName><OrgAddress><Country>Poland</Country></OrgAddress></Affiliation><Affiliation ID="Aff19"><OrgDivision>Department of Computer Science</OrgDivision><OrgName>University of Regina</OrgName><OrgAddress><Postcode>S4S 0A2</Postcode><City>Regina</City><State>Saskatchewan</State><Country>Canada</Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgDivision>Department of Electrical and Computer Engineering</OrgDivision><OrgName>University of Manitoba</OrgName><OrgAddress><Postcode>R3T 5V6</Postcode><City>Winnipeg</City><State>Manitoba</State><Country>Canada</Country></OrgAddress></Affiliation><Affiliation ID="Aff21"><OrgDivision>College of Computer and Information Engineering</OrgDivision><OrgName>Hehan University</OrgName><OrgAddress><City>Henan</City><Country>China</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part10"><PartInfo TocLevels="0"><PartID>10</PartID><PartSequenceNumber>10</PartSequenceNumber><PartTitle>Web Content Analysis</PartTitle><PartChapterCount>3</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing</BookTitle></PartContext></PartInfo><Chapter ID="Chap49" Language="En"><ChapterInfo ChapterType="OriginalPaper" NumberingStyle="ContentOnly" NumberingDepth="2" TocLevels="0" ContainsESM="No"><ChapterID>49</ChapterID><ChapterDOI>10.1007/11548706_49</ChapterDOI><ChapterSequenceNumber>49</ChapterSequenceNumber><ChapterTitle Language="En">Discovering Characteristic Individual Accessing Behaviors in Web Environment</ChapterTitle><ChapterFirstPage>466</ChapterFirstPage><ChapterLastPage>476</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2005</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>10</PartID><BookID>978-3-540-31824-8</BookID><BookTitle>Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff22 Aff23"><AuthorName DisplayOrder="Western"><GivenName>Long</GivenName><FamilyName>Wang</FamilyName></AuthorName><Contact><Email>Long.wang@hpi.uni-potsdam.de</Email></Contact></Author><Author AffiliationIDS="Aff23"><AuthorName DisplayOrder="Western"><GivenName>Christoph</GivenName><FamilyName>Meinel</FamilyName></AuthorName><Contact><Email>Meinel@hpi.uni-potsdam.de</Email></Contact></Author><Author AffiliationIDS="Aff24"><AuthorName DisplayOrder="Western"><GivenName>Chunnian</GivenName><FamilyName>Liu</FamilyName></AuthorName><Contact><Email>cslcn@but.edu.cn</Email></Contact></Author><Affiliation ID="Aff22"><OrgDivision>Computer Science Department</OrgDivision><OrgName>Trier University</OrgName><OrgAddress><Street>Campus II</Street><Postcode>54296</Postcode><City>Trier</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff23"><OrgDivision>Hasso Plattner Institut</OrgDivision><OrgName>Potsdam University</OrgName><OrgAddress><Postcode>14482</Postcode><City>Potsdam</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff24"><OrgDivision>Beijing Municipal Key Lab. of Multimedia and Intelligent Software Technology</OrgDivision><OrgName>Beijing University of Technology</OrgName><OrgAddress><Postcode>100022</Postcode><City>Beijing</City><Country>China</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>Discovering diverse individual accessing behaviors in web environment is required before mining the valuable patterns from behaviors of groups of visitors. In this paper, we investigate the data preparation in web usage mining, and especially focus on discovering characteristic individual accessing behaviors and give a systematic and formalized study on this topic. Based on the target usage patterns, individual user behavior through the web site can be discovered into five different categories: granular accessing behavior, linear sequential behavior, tree structure behavior, acyclic routing behavior and cyclic routing behavior. We also give different algorithms for discovering different kinds of behaviors. The experimental studies show that our discovery of individual behavior is very useful and necessary in web usage mining.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Discovering Characteristic Individual Accessing Behaviors in Web Environment</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Discovering Characteristic Individual Accessing Behaviors in Web Environment</title></titleInfo><name type="personal"><namePart type="given">Long</namePart><namePart type="family">Wang</namePart><affiliation>Computer Science Department, Trier University, Campus II, 54296, Trier, Germany</affiliation><affiliation>Hasso Plattner Institut, Potsdam University, 14482, Potsdam, Germany</affiliation><affiliation>E-mail: Long.wang@hpi.uni-potsdam.de</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Christoph</namePart><namePart type="family">Meinel</namePart><affiliation>Hasso Plattner Institut, Potsdam University, 14482, Potsdam, Germany</affiliation><affiliation>E-mail: Meinel@hpi.uni-potsdam.de</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Chunnian</namePart><namePart type="family">Liu</namePart><affiliation>Beijing Municipal Key Lab. of Multimedia and Intelligent Software Technology, Beijing University of Technology, 100022, Beijing, China</affiliation><affiliation>E-mail: cslcn@but.edu.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2005</dateIssued><copyrightDate encoding="w3cdtf">2005</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: Discovering diverse individual accessing behaviors in web environment is required before mining the valuable patterns from behaviors of groups of visitors. In this paper, we investigate the data preparation in web usage mining, and especially focus on discovering characteristic individual accessing behaviors and give a systematic and formalized study on this topic. Based on the target usage patterns, individual user behavior through the web site can be discovered into five different categories: granular accessing behavior, linear sequential behavior, tree structure behavior, acyclic routing behavior and cyclic routing behavior. We also give different algorithms for discovering different kinds of behaviors. The experimental studies show that our discovery of individual behavior is very useful and necessary in web usage mining.</abstract><relatedItem type="host"><titleInfo><title>Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing</title><subTitle>10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005, Proceedings, Part II</subTitle></titleInfo><name type="personal"><namePart type="given">Dominik</namePart><namePart type="family">Ślęzak</namePart><affiliation>Department of Computer Science, University of Regina, Regina, SK, S4S 0A2 Canada, Polish-Japanese Institute of Information Technology, Koszykowa 86, 02-008 Warsaw, P.O. Box, Poland</affiliation><affiliation>E-mail: slezak@infobright.com</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">JingTao</namePart><namePart type="family">Yao</namePart><affiliation>Department of Computer Science, University of Regina, S4S 0A2, Regina, Saskatchewan, Canada</affiliation><affiliation>E-mail: jtyao@cs.uregina.ca</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">James</namePart><namePart type="given">F.</namePart><namePart type="family">Peters</namePart><affiliation>Department of Electrical and Computer Engineering, University of Manitoba, R3T 5V6, Winnipeg, Manitoba, Canada</affiliation><affiliation>E-mail: jfpeters@ee.umanitoba.ca</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Wojciech</namePart><namePart type="family">Ziarko</namePart><affiliation>Department of Computer Science, University of Regina, S4S 0A2, Regina, Saskatchewan, Canada</affiliation><affiliation>E-mail: ziarko@cs.uregina.ca</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Xiaohua</namePart><namePart type="family">Hu</namePart><affiliation>College of Computer and Information Engineering, Hehan University, Henan, China</affiliation><affiliation>E-mail: thu@cis.drexel.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2005</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book-Subject-Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book-Subject-Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic><topic authority="SpringerSubjectCodes" authorityURI="I18032">Information Storage and Retrieval</topic><topic authority="SpringerSubjectCodes" authorityURI="I18024">Database Management</topic><topic authority="SpringerSubjectCodes" authorityURI="I16048">Mathematical Logic and Formal Languages</topic><topic authority="SpringerSubjectCodes" authorityURI="I16013">Computation by Abstract Devices</topic><topic authority="SpringerSubjectCodes" authorityURI="I2203X">Pattern Recognition</topic></subject><identifier type="DOI">10.1007/11548706</identifier><identifier type="ISBN">978-3-540-28660-8</identifier><identifier type="eISBN">978-3-540-31824-8</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">126288</identifier><identifier type="BookID">978-3-540-31824-8</identifier><identifier type="BookChapterCount">77</identifier><identifier type="BookVolumeNumber">3642</identifier><identifier type="BookSequenceNumber">3642</identifier><identifier type="PartChapterCount">3</identifier><part><date>2005</date><detail type="part"><title>Web Content Analysis</title></detail><detail type="volume"><number>3642</number><caption>vol.</caption></detail><extent unit="pages"><start>466</start><end>476</end></extent></part><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2005</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title></titleInfo><name type="personal"><namePart type="given">David</namePart><namePart type="family">Hutchison</namePart><affiliation>Lancaster University, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Takeo</namePart><namePart type="family">Kanade</namePart><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Josef</namePart><namePart type="family">Kittler</namePart><affiliation>University of Surrey, Guildford, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jon</namePart><namePart type="given">M.</namePart><namePart type="family">Kleinberg</namePart><affiliation>Cornell University, Ithaca, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Friedemann</namePart><namePart type="family">Mattern</namePart><affiliation>ETH Zurich, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">John</namePart><namePart type="given">C.</namePart><namePart type="family">Mitchell</namePart><affiliation>Stanford University, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart 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type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jon</namePart><namePart type="given">M.</namePart><namePart type="family">Kleinberg</namePart><affiliation>Cornell University, Ithaca, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Friedemann</namePart><namePart type="family">Mattern</namePart><affiliation>ETH Zurich, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">John</namePart><namePart type="given">C.</namePart><namePart type="family">Mitchell</namePart><affiliation>Stanford University, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moni</namePart><namePart type="family">Naor</namePart><affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Oscar</namePart><namePart type="family">Nierstrasz</namePart><affiliation>University of Bern, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">C.</namePart><namePart type="family">Pandu Rangan</namePart><affiliation>Indian Institute of Technology, Madras, India</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Bernhard</namePart><namePart type="family">Steffen</namePart><affiliation>University of Dortmund, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Madhu</namePart><namePart type="family">Sudan</namePart><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Demetri</namePart><namePart type="family">Terzopoulos</namePart><affiliation>New York University, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Dough</namePart><namePart type="family">Tygar</namePart><affiliation>University of California, Berkeley, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moshe</namePart><namePart type="given">Y.</namePart><namePart type="family">Vardi</namePart><affiliation>Rice University, Houston, TX, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Gerhard</namePart><namePart type="family">Weikum</namePart><affiliation>Max-Planck Institute of Computer Science, Saarbruecken, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jaime</namePart><namePart type="given">G.</namePart><namePart type="family">Carbonell</namePart><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jörg</namePart><namePart type="family">Siekmann</namePart><affiliation>University of Saarland, Saarbrücken, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Dominik</namePart><namePart type="family">Ślęzak</namePart><affiliation>Department of Computer Science, University of Regina, Regina, SK, S4S 0A2 Canada, Polish-Japanese Institute of Information Technology, Koszykowa 86, 02-008 Warsaw, P.O. 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