数据挖掘在铁路货运营销决策支持系统中的研究与应用

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1、学校代号!Q532分类号!￡塑⑨学号鱼Q22塑Q塑——密级——淘确火多HUNANLNIVERSITY硕士学位论文数据挖掘在铁路货运营销决策支持系统中的研究与应用学位申请人姓名赫英r培养单位软件学院导师姓名及职称李德胜教授、王启东高工学科专业软件工程研究方向数据挖掘论文提交日期2004年12月数据挖掘谯铁龉货运营销决策支持系统中的瓤用与刊}究AbstractTheBaseofthisdissertationisRailroadFreightTransportationMarketingDecisionSupp

2、ortSystem．WeresearchintotheapplicationofDMtechnologyinthefactitem．UsingModelnotonlyshouldpayattentiontOtherationmodelbutalsopayattentiontofinalizethedesignmodel．TheBasisofthetypesoffreightMarketing，wepartitionthemodeltoTheclientmanagementmodel，TheMarketing

3、combinationanalysisModel，TheMarketingmeritsystemmodel，Thetransportforecastmodel，Theeconomyinfluenceanalysismodel，Thecompetitoranalysis．IstudyandexploitThetransportforecastmodel．Thesingleforecastmodelisn’tadapttoaunitaryfreightforecastmodel，Sowemustadviseme

4、ntmultidimensionalmodel，forexamplethegrowthcurvematchmodel，cubicsmoothnessexponentialmatchmodel，networkmodeletc，thesemodelhasthemselvesadvantage．BPNNarithmeticbeusedfreightforecastmodel．Butinactuallessonaresearchoneselfdiscover，thengoodcalculateway，model，e

5、venismodelthatthedatacharacteristicthatthesoftwareallneedstheveryfirmprofessionexperience，howtominingthecalculatewaywiththebetterapplicationincharacteristicinworkflowdataaccordingtothedifferentprofession，thedesignmeetstheprofessiondemandwithsoftwarechangec

6、ountformuch．InregardDM，thedataoftherailroadprofessioncomparesthecomplicatedregulationisnotverystrong，finance，thedataofinsuranceetc．professionhavethegoodregulationapttomining，undersuchcircumstancewillbegthecalculatewaythatDMappliedtoputforwardthehigherreque

7、stwiththedesignofthemodel．Thislessonanappliedforegroundforofresearchprimarilyistorelatingtotypedatainthedatabaseproceedingexcavation，butinthefutureDMwillbeveryextensive，thesinglerelationtypeDMtohavecan’tsatisfypeopledemand，textthisdocument，picture，theexcav

8、ationofmediumetc．infprmationalsowillchangemoreandmoreimportant．SothefuturetheobjectthatDMwillbemoreandmoreextensive，professionthatapplicationDMtoomoreandmoreextensive．Thislessonahightideforofresearchanditemsr