基于数据挖掘技术的移动客户流失研究

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1、硕士学位论文AbstractWiththearrivalofthe3Gandtherestructuringoftheoperator,thefiercecompetitionofthemobilecommunicationsindustryexacerbatethelossofcustomers，whichhaveadirectimpactontheoperator’Smarketshare，economicbenefitsandotherkeyindicators．Facedwithfiercemarketcompetition，retainingtheh

2、igh-valuecustomerswhohavethelosstendency,effectivelyforecastingthecustomerswhomayleavethenetworksandincliningthemarketingstrategyisanimportantresearchtopic．Thispaperstudiesthedataminingtechnologyanditsresearchonthepredictionofthelossofmobilecustomers，themainworksasfollows：(1)Itanaly

3、sesthereasonsandthecharacteristicsofthecustomerloseonthemobilecommunicationindustryandpointsoutseveralproblemsexistedonthemobilecommunicationindustry．Astothedataminingmethodadoptedonthemobilecommunicationindustry，itstudiesitandgivesitscharacteristics．(2’)Asto．thecharacteristicsofthe

4、mobilecommunicationindustry，itanalysesseveralkindsofthedataminingpredictionmodel．Itputsforwardalosepredictionmodelonthebasisoftheback．propagationneuralnetwork，conductstheexperimentalanalysisandprovestheeffectivenessofthemodel．(3)Itachievesthedataminingsystemofthecustomerloseandshows

5、thedesigndetailsofthesystemOllthebasisofthelargecustomerlosepredictionmodel．Keywords：Datamining；BPNeuralnetwork；Telecommunicationscustomermanagement；Churnprediction；CRISP-DM111目录学位论文原创性声明和学位论文版权使用授权书⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯I摘要⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．⋯⋯⋯⋯⋯⋯⋯⋯IIAbstract．．．．．．．．⋯．．．⋯．．．．．．．．．．．．．

6、．．．．．．．．．．．．．．．．．．．．．．．．⋯．．．．．．．．．．．．．．⋯．．．．．．．．．．．⋯．．．．．．．．．．．．．．．．．．．．．．．．．．．III插图索引⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯一VI附表索引⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯。VII第l章引言⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯：⋯⋯81．1论文选题的背景⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．81．2论文研究的目的和意义⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．91．3电信业客户流失分析在国内外应用情况⋯⋯⋯⋯⋯

7、⋯⋯⋯⋯⋯⋯⋯．．101．3。1电信业客户流失在国内的应用情况⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯101．3．2电信业客户流失在国外的应用情况⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯111．4数据挖掘技术在国内外电信业的研究现状⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯111．5论文主要工作和论文结构⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．131．5．1论文主要工作⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．131．5．2论文的结构⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．13第2章客户流失预测的数据挖掘方法⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯152．1客户流失的相关概念⋯⋯⋯⋯

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