数据挖掘在电信手机用户识别中的应用

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1、浙江工商大学硕士论文APPLICATIONSOFDATAMINⅣGINMOBILEUSERSRECOGNITl0NOFTELECOMABSTRACTAsthedevelopmentofthecommunicationandthepopularityofmobilephones，thecommunicationofourcountryisbecomingmoreandmorecompletive．Thephilosophyofthetelecommunicationhaschangedfromoriginalproduct—centrictocustomer

2、-centric．Thecommunicationtoimprovetheirbusinessbyexpandingthemobilephoneuseshasbeenverydifficult．Currently，themostimportantcarriersforthecommunicationaretoretaincustomers，especiallyhigh-valueusersandavoidcustomerschurning．First,theprojectstudieshowtoidentifyhi曲-valuecustomersoftel

3、ecommunication．Accordingtotheunderstandingabouthigh-valuecustomersofstaffoftelecom,thentheprojectidentifyusiIlgdataminingmethodstodetermineswhichusersshouldhigh-valuecustomersandanalyzesthecharacteristicsofhi_gh—valuecustomersshouldmet．Intheanalysisofhigh-valuecustomers，theproject

4、hassmdiedfromtwoperspectives：thebusinessperspectiveandstatisticalperspective．Finally，theresultsofthetwomethodsaleusedtodeterminetheFinalhigh-valuee1．．IStomersIlI浙江工商大学硕士论文Secondly，theprojectstudieshowtoidentifythecustomerswhowillchum．Asthecompetitionoftelecomisbecominginternivecom

5、pletive，noonetelecomcansurehiscustomersnolongerwillnotturntoothercarriers．Therefore,topredictwhichcustomerswillbelostisthefoundationforthecarrierstoretainhiscustomers．BasedOiltheunderstandingofbusiness，theprojectfirsttodefinethechurncustomersandthenusingthealgorithmofdecisiontreet

6、oanalyze．Finally，theprojectcomparestheresultofthealgorithm：C&R，QUEST，C5．0andC5．0basedonboosting，fromwhichtochooseC5．0asthefinalmodelFinally，selectinghigh-valuecustomersfromthecustomerswhowerepredictedhavehighprobabilitytobssastheimportantcustomersfortelecomtoretain．Thentheprojecta

7、nalyzesretentionmeasuresofhigh-valuecustomerswhoarepredictedtobeloss．KEYWORDS：DataMining；High-valueUsers；CustomerIdentification；ChumPrediction；Clustering；DecisionTreeIV浙江工商大学硕士论文目录摘要⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯一IABSTRACT⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．Ⅲ第一章引言⋯⋯⋯

8、⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯。1第一节项目背