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Data Mining：Concepts and Techniques, Third Edition

Data Mining：Concepts and Techniques, Third Edition

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作者: Jiawei 著 , Micheline 著 , Jian Pei 著

出版社: Morgan Kaufmann

出版时间: 2011-06

版次: 3

ISBN: 9780123814791

定价: 533.60

装帧: 精装

开本: 其他

纸张: 其他

页数: 744页

正文语种: 英语

分类: 外文古旧书>英文书>计算机与互联网

4人买过

Theincreasingvolumeofdatainmodernbusinessandsciencecallsformorecomplexandsophisticatedtools.Althoughadvancesindataminingtechnologyhavemadeextensivedatacollectionmucheasier,it'sstillalwaysevolvingandthereisaconstantneedfornewtechniquesandtoolsthatcanhelpustransformthisdataintousefulinformationandknowledge.Sincethepreviousedition'spublication,greatadvanceshavebeenmadeinthefieldofdatamining.Notonlydoesthethirdofeditionof"DataMining:ConceptsandTechniques"continuethetraditionofequippingyouwithanunderstandingandapplicationofthetheoryandpracticeofdiscoveringpatternshiddeninlargedatasets,italsofocusesonnew,importanttopicsinthefield:datawarehousesanddatacubetechnology,miningstream,miningsocialnetworks,andminingspatial,multimediaandothercomplexdata.Eachchapterisastand-aloneguidetoacriticaltopic,presentingprovenalgorithmsandsoundimplementationsreadytobeuseddirectlyorwithstrategicmodificationagainstlivedata.Thisistheresourceyouneedifyouwanttoapplytoday'smostpowerfuldataminingtechniquestomeetrealbusinesschallenges.Itpresentsdozensofalgorithmsandimplementationexamples,allinpseudo-codeandsuitableforuseinreal-world,large-scaledataminingprojects.Itaddressesadvancedtopicssuchasminingobject-relationaldatabases,spatialdatabases,multimediadatabases,time-seriesdatabases,textdatabases,theWorldWideWeb,andapplicationsinseveralfields.Itprovidesacomprehensive,practicallookattheconceptsandtechniquesyouneedtogetthemostoutofyourdata. JiaweiHanisProfessorintheDepartmentofComputerScienceattheUniversityofIllinoisatUrbana-Champaign.Wellknownforhisresearchintheareasofdatamininganddatabasesystems,hehasreceivedmanyawardsforhiscontributionsinthefield,includingthe2004ACMSIGKDDInnovationsAward.HehasservedasEditor-in-ChiefofACMTransactionsonKnowledgeDiscoveryfromData,andoneditorialboardsofseveraljournals,includingIEEETransactionsonKnowledgeandDataEngineeringandDataMiningandKnowledgeDiscovery.MichelineKamberisaresearcherwithapassionforwritingineasy-to-understandterms.Shehasamaster'sdegreeincomputerscience(specializinginartificialintelligence)fromConcordiaUniversity,Canada.JianPeiisAssociateProfessorofComputingScienceandthedirectorofCollaborativeResearchandIndustryRelationsattheSchoolofComputingScienceatSimonFraserUniversity,Canada.In2002-2004,hewasanAssistantProfessorofComputerScienceandEngineeringattheStateUniversityofNewYork(SUNY)atBuffalo.HereceivedaPh.D.degreeinComputingSciencefromSimonFraserUniversityin2002,underDr.JiaweiHan'ssupervision.
内容简介:
Theincreasingvolumeofdatainmodernbusinessandsciencecallsformorecomplexandsophisticatedtools.Althoughadvancesindataminingtechnologyhavemadeextensivedatacollectionmucheasier,it'sstillalwaysevolvingandthereisaconstantneedfornewtechniquesandtoolsthatcanhelpustransformthisdataintousefulinformationandknowledge.Sincethepreviousedition'spublication,greatadvanceshavebeenmadeinthefieldofdatamining.Notonlydoesthethirdofeditionof"DataMining:ConceptsandTechniques"continuethetraditionofequippingyouwithanunderstandingandapplicationofthetheoryandpracticeofdiscoveringpatternshiddeninlargedatasets,italsofocusesonnew,importanttopicsinthefield:datawarehousesanddatacubetechnology,miningstream,miningsocialnetworks,andminingspatial,multimediaandothercomplexdata.Eachchapterisastand-aloneguidetoacriticaltopic,presentingprovenalgorithmsandsoundimplementationsreadytobeuseddirectlyorwithstrategicmodificationagainstlivedata.Thisistheresourceyouneedifyouwanttoapplytoday'smostpowerfuldataminingtechniquestomeetrealbusinesschallenges.Itpresentsdozensofalgorithmsandimplementationexamples,allinpseudo-codeandsuitableforuseinreal-world,large-scaledataminingprojects.Itaddressesadvancedtopicssuchasminingobject-relationaldatabases,spatialdatabases,multimediadatabases,time-seriesdatabases,textdatabases,theWorldWideWeb,andapplicationsinseveralfields.Itprovidesacomprehensive,practicallookattheconceptsandtechniquesyouneedtogetthemostoutofyourdata.
作者简介:
JiaweiHanisProfessorintheDepartmentofComputerScienceattheUniversityofIllinoisatUrbana-Champaign.Wellknownforhisresearchintheareasofdatamininganddatabasesystems,hehasreceivedmanyawardsforhiscontributionsinthefield,includingthe2004ACMSIGKDDInnovationsAward.HehasservedasEditor-in-ChiefofACMTransactionsonKnowledgeDiscoveryfromData,andoneditorialboardsofseveraljournals,includingIEEETransactionsonKnowledgeandDataEngineeringandDataMiningandKnowledgeDiscovery.MichelineKamberisaresearcherwithapassionforwritingineasy-to-understandterms.Shehasamaster'sdegreeincomputerscience(specializinginartificialintelligence)fromConcordiaUniversity,Canada.JianPeiisAssociateProfessorofComputingScienceandthedirectorofCollaborativeResearchandIndustryRelationsattheSchoolofComputingScienceatSimonFraserUniversity,Canada.In2002-2004,hewasanAssistantProfessorofComputerScienceandEngineeringattheStateUniversityofNewYork(SUNY)atBuffalo.HereceivedaPh.D.degreeinComputingSciencefromSimonFraserUniversityin2002,underDr.JiaweiHan'ssupervision.

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