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1、EnsembleMethodsinDataMining:ImprovingAccuracyThroughCombiningPredictionsSynthesisLecturesonDataMiningandKnowledgeDiscoveryEditorRobertGrossman,UniversityofIllinois,ChicagoEnsembleMethodsinDataMining:ImprovingAccuracyThroughCombiningPredictionsGiovanniSeniandJohnF.E
2、lder2010ModelingandDataMininginBlogosphereNitinAgarwalandHuanLiu2009Copyright©2010byMorgan&ClaypoolAllrightsreserved.Nopartofthispublicationmaybereproduced,storedinaretrievalsystem,ortransmittedinanyformorbyanymeanselectronic,mechanical,photocopy,recording,oranyoth
3、erexceptforbriefquotationsinprintedreviews,withoutthepriorpermissionofthepublisher.EnsembleMethodsinDataMining:ImprovingAccuracyThroughCombiningPredictionsGiovanniSeniandJohnF.Elderwww.morganclaypool.comISBN:9781608452842paperbackISBN:9781608452859ebookDOI10.2200/S
4、00240ED1V01Y200912DMK002APublicationintheMorgan&ClaypoolPublishersseriesSYNTHESISLECTURESONDATAMININGANDKNOWLEDGEDISCOVERYLecture#2SeriesEditor:RobertGrossman,UniversityofIllinois,ChicagoSeriesISSNSynthesisLecturesonDataMiningandKnowledgeDiscoveryPrint2151-0067Elec
5、tronic2151-0075EnsembleMethodsinDataMining:ImprovingAccuracyThroughCombiningPredictionsGiovanniSeniElderResearch,Inc.andSantaClaraUniversityJohnF.ElderElderResearch,Inc.andUniversityofVirginiaSYNTHESISLECTURESONDATAMININGANDKNOWLEDGEDISCOVERY#2MMorgan&cLaypoolpubli
6、shers&CABSTRACTEnsemblemethodshavebeencalledthemostinfluentialdevelopmentinDataMiningandMachineLearninginthepastdecade.Theycombinemultiplemodelsintooneusuallymoreaccuratethanthebestofitscomponents.Ensemblescanprovideacriticalboosttoindustrialchallengesfrominvestment
7、timingtodrugdiscovery,andfrauddetectiontorecommendationsystemswherepredictiveaccuracyismorevitalthanmodelinterpretability.Ensemblesareusefulwithallmodelingalgorithms,butthisbookfocusesondecisiontreestoexplainthemmostclearly.Afterdescribingtreesandtheirstrengthsandw
8、eaknesses,theauthorsprovideanoverviewofregularizationtodayunderstoodtobeakeyreasonforthesuperiorper-formanceofmodernensemblingalgorithms.Thebookc