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《基于决策树方法的分类规则的挖掘（mining of classification rules based on decision tree method）》由会员上传分享，免费在线阅读，更多相关内容在教育资源-天天文库。
1、基于决策树方法的分类规则的挖掘（Miningofclassificationrulesbasedondecisiontreemethod）MiningofclassificationrulesbasedondecisiontreemethodCategory:AUTO--HTMLFifthauthors:WangShuyanAbstract:Dataminingismotivatedbythedecisionsupportproblem(decisionsupport)facedbysomelargeretailorganizations.
2、Thelargeamountofsalesdatacollectedbybarcodetechnologyisthebasisofmining.Basedonthedatamining,wecanfindforsalesandproductionforsomeusefulinformation(theinformationreflectedbyacertainpattern),soastoimprovesalesandproductionefficiency,reducecosts,maximizebusinessbenefits,this
3、isthesignificanceofdatamining.Thispaperintroducesamodelofdatamining:classificationrulesbasedondecisiontreemethod.Andanalgorithmnamed--C4.5algorithmforconstructingdecisiontreeclassifierisdiscussedindetail1researchbackground1.1termsDefinitionofKDDtechnology:KDDistheprocessof
4、extractingcredible,novel,effective,andunderstandablepatternsfromlargeamountsofdata.Thisprocessisahigh-levelprocess.Typically,KDDconsistsofthreephases:datapreparation,datamining,andinterpretationandevaluationofresults.Dataminingisbasedonthedecisionneeds,determinethemissiona
5、ndpurposeofdatamining,andtheminingalgorithmfromdataminingusefulknowledgebyspecificdata,isthecorepartofKDD,isthemaintopicofKDDresearch.Ingeneral,wedonotdistinguishbetweenKDDanddatamining.Datamining(DataMining)isfromthelarge,incomplete,noisy,fuzzyandrandomdata,inwhichtheextr
6、actionofimplicit,peopledonotknowinadvance,butispotentiallyusefulinformationandknowledge.2classificationruleanalysis2.1classifierTheproblemofsortingistocategorizeaneventorobject.Inuse,youcanusethismodeltoanalyzeexistingdata,oryoucanuseittopredictfuturedata.Theconceptofclass
7、ificationistolearnaclassificationfunctiononthebasisofexistingdataortoconstructaclassificationmodel(thatis,whatweusuallyrefertoasaclassifier(Classifier)).Thefunctionormodelcanmapdatarecordsinadatabasetooneofagivenclass,whichcanbeappliedtodataprediction.Forexample,usetheclas
8、sificationtopredictwhichcustomersaremostlikelytosellfordirectmailtorespond,andwhatthecust
