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1、SecondInternationalConferenceonComputerResearchandDevelopmentDataMiningandItsApplicationsinCRMWanghualinJiangxiUniversityofFinance&Economics,IndustrialClustersandEnterpriseResearchCenter,NanchangChina,wanghualin2002@163.comAbstract—Thispaper,throughtheintroductionofdataminingA.The
2、AssociationAnalysisttechnology,focusesonexpatiatingontheworkingmethodsofTolearnmoreaboutassociationrulesmining,firstly,itdataminingtechnologyandanalyzingitsbasicsteps.shouldmeetthesupportdegreeandtheconfidencelevel.TheFurthermore,combiningwiththecorporatemarketingpracticessupportd
3、egreereflectsthatthereisenoughdatamaysupportaswellascitingthecasedescription,thepaperexploresthethisrule,theconfidencelevelreflectsthecredibilityofthisapplicationsofdataminingtechnologyincustomerrelationshiprule.Theassociationanalysisisanalyzingtheintimatedegreemanagement.ofrelati
4、onsamongthevariables,anditmainlybasedonKeywords—DataMining;CRM;DataWarehouse;Applicationobservationaldatatoestablishtheappropriatedependencyrelationshipamongthevariables.TheassociationrulecanfindI.INTRODUCTIONouttherelationsamongdifferentcommoditiesinthedatabase,DataMining(DM)isth
5、eprocessinwhichtheenterprisethenitcometoreflectthecustomers’purchasinghabits.Thisextractsitsusefulknowledgefromalotofincomplete,randomruleisoneofthemethodsthatareappliedquiteextensivelyatinformationthathasbeengeneratedfromtheproduction,present.marketing,customerservicesoftheenterp
6、rise,andthenB.TheTimeSeriesAnalysisthroughtheanalysisofdatatofindtheinformationandknowledgewithinthedata.WiththeextensiveuseofBeingsimilartotheassociationanalysis,thetimeseriesdatabases,theapplicationdomainsofdataminingalsobecomeanalysisisalsoaimedatdiggingouttherelationsamongthem
7、oreandmoreextensive.Becauseoftherealizationofdata,butitismorefocusedonthecausalityofdatainchronologicalsequence.Asaretailer'sexample,itisthetimeindustrialautomation,thebusinessdomainhasgeneratedaseriesanalysisifthedataminingsystemdividesintogroupsmassofbusinessdata,ofwhichthereisl
8、ittletrulyvaluableaccordingtothec
