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1、AbstractRecently,dataMininginCustomerRelationshipManagementSystemispaidmoreandmoreattentionbyresearchersinmanyfields,suchasbanking,postalservices,mobile,manufacturing,wholesale,retail,telecommunications,realestate,medical,IT,media,transportationandlogisticsindustry.Thispaperfocusesontheresearcha
2、ndapplicationondataminingclusteringinthelocaltaxcustomerrelationshipmanagementsystem.Atpresent,onlyafewcustomerrelationshipmanagementsystemsareusedinlocaltaxindustry,andevenfewercustomerrelationshipmanagementsystemswhichusedatamining.Firstly,thispaperexpoundstheframeworkofcustomerrelationshipman
3、agementsystemanditsapplicationstatusinlocaltaxindustry,Secondly,wehavestudiedsomedataminingclusteringalgorithmssuchask-meansalgorithm,DBSCANalgorithmandAPclusteringalgorithm.Finally,aimingatlandtaxindustrycustomerdatainformation,weproposeahybridclusteringalgorithmbasedonKmediaandDBSCAN,anddealwi
4、ththecustomerinformationdataanduseclusteringalgorithmontheclusteringanalysis,forprovidingpolicymakersstrongbasis.Experimentalresultsverifythedataminingapplicationinlandtaxindustryarefeasibleandeffective.Keyword:customerrelationshipmanagementdataminingclusteringcustomerclassification目录第一章绪论......
5、.............................................................................................................11.1研究背景及意义.............................................................................................11.2国内外研究现状........................................................................
6、.....................21.2.1国外研究现状.........................................................................................21.2.2国内研究现状.........................................................................................41.3本文研究内容...............................................................
7、..................................51.4论文结构安排.................................................................................................6第二章相关概念综述.........................................................................