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1、Soft-CsGDT:SoftCost-sensitiveGaussianDecisionTreeforCost-sensitiveClassificationofDataStreamsNingGuoYanhuaYuMeinaSonggn@bupt.edu.cnyuyanhua@bupt.edu.cnmnsong@bupt.edu.cnJundeSongYuFujdsong@bupt.edu.cnddskyfuyu@gmail.comPCN&CADCenter,BeijingUniversityofPostsandTelecommunicationsBeijing
2、100876,ChinaABSTRACT1.INTRODUCTIONNowadaysinmanyreal-worldscenarios,highspeeddataIndataminingapplications,suchasmedicaldiagnosis,streamsareusuallywithnon-uniformmisclassi cationcostscreditfrauddetection,andintrusiondetection,thedatavol-andthuscallforcost-sensitiveclassi cationalgorit
3、hmsofumeisalwaysverylargeandcontinuouslygrowing.Thesedatastreams.However,onlylittleliteraturefocusesonthisapplicationscanbemodeledasatypicalclassi cationprob-issue.Ontheotherhand,theexistingalgorithmsforcost-lemofdatastreams.Atpresent,inthe eldofdatastreamsensitiveclassi cationcanach
4、ieveexcellentperformanceinclassi cationthemajorconcernisaccuracy-basedlearningthemetricoftotalmisclassi cationcosts,butalwayslead[2,3,4,15],whichaimsatminimizingerrorrate.However,toobviousreductionofaccuracy,whichrestrainstheprac-thereal-worlddatastreamsalwayscomewithnon-uniformtical
5、applicationgreatly.Inthispaper,wepresentanim-misclassi cationcosts,thereforetheexistingdatastreamprovedfolktheorem.Basedonthenewtheorem,theexist-learningalgorithms,whichdon'ttakemisclassi cationcostingaccuracy-basedclassi cationalgorithmcanbeconvertedintoaccount,donotperformwell.into
6、softcost-sensitiveoneimmediately,whichallowsustoInthescenarioofcreditfrauddetection,themisclassi ca-takebothaccuracyandcostintoaccount.Followingtheideationerror,whichismadeinjudgingthebaduserbehaviorsofthistheorem,thesoft-CsGDTalgorithmisproposedtothatcausehugeeconomiclossesasnormalb
7、ehaviors,isal-processthedatastreamswithnon-uniformmisclassi cationwaysmuchmoreserious(inotherwords,highcost)thanthecosts,whichisanexpansionofGDT.Withbothsyntheticoppositetypeoferror,whichjudgessomeoneasbadwhenandreal-worlddatasets,theexperimentalresultsshowthattheyareinfactwithnormal
8、behaviors.Th
