1、标题RESEARCHONECONOMICLOGICANDCUSTOMERRELATIONSHIPMANAGEMENTINELECTRONICCOMMERCEBASEDONDATAMINING原文ABSTRACTTHEPAPERDEMONSTRATESTHEEFFICIENTUSEOFCOMBINATIONOFINTELLIGENTINFORMATIONPROCESSINGTECHNOLOGYANDECONOMICLOGICFORSOLVINGTHEPROBLEMOFCUSTOMERSEGMENTATIONTHEAIMOFTHESTUDYISTOOBTAINCLASSIFICATIONSCHEM
2、ESABLETOSUPPORTBUSINESSMARKETINGPREVIOUSATTEMPTSFORTHESAMEPROBLEMONLYUSEDQUANTITATIVETECHNOLOGIESOFDATAMININGTHEMANAGEMENTDECISIONMETHODFACINGECONOMICLOGICTHINKINGISPROPOSEDINTHISPAPERTHESTUDYINGOBJECTIVEOFECONOMICLOGICISECONOMYACTIVITY,WITHTHEBROADAPPLICATIONOFITANDNETWORKINGTECHNOLOGYELECTRONICCOM
3、MERCEISDEVELOPINGRAPIDLYUNDERTHENEWECONOMICFORM,|MANAGEMENTDECISIONNEEDSUSENOTONLYINTELLIGENTINFORMATIONTECHNOLOGYBUTLOGICALRATIONALGUIDELINEANDTHINKINGTHEPAPERCOMBINESDECISIONTREETECHNOLOGYOFDATAMININGTECHNOLOGYANDECONOMICLOGICMETHODTODOTHERESEARCHOFCUSTOMERRELATIONSHIPMANAGEMENTINELECTRONICCOMMERC
4、ETHISISANADVANTAGEOUSAPPROACHENABLINGCOMBINATIONOFQUANTITATIVEPROCESSINGANDQUALITATIVEANALYSISAREALEASEISALSODISCUSSEDINDETAIL,ANDTHEEFFECTIVEANDSUPPORTIVERESULTSPROVETHATTHEMANAGEMENTDECISIONMETHODFACINGECONOMICLOGICTHINKINGISWORTHWHILEKEYWORDSECONOMICLOGIC,MANAGEMENTDECISIONDATAMININGDECISIONTREEC
5、USTOMERRELATIONSHIPMANAGEMENT1INTRODUCTIONTHEINTERNETISCHANGINGTHEWORLD,WHICHHASIMPACTEDTHEMODELOFPEOPLELIVING,STUDYING,WORKINGORENTERTAINMENTINSEVERALFUNDAMENTALWAYSTHEINTERNETHASBECOMETHEIMPORTANTCHANNELTOCOLLECTRELEASEANDCONVEYINFORMATIONANDFORCEDTRADITIONALECONOMICMODELTOTHINKOFWAYSTHATTHISTECHN
6、OLOGYCANBEUSEDTOIMPROVEBUSINESSMANAGEMENTEFFECTIVENESSELECTRONICCOMMERCEBASEDONTHEINTERACTISDEVELOPINGWITHTHEMOREWIDESPREADAPPLICATIONOFTHEINTERNETANDGRADUALIMPROVEMENTOFTHEINFORMATIONTECHNOLOGYHOWTODEVELOPFASTERANDENHANCETHEIRCOMPETITIONARETHEHOTISSUESINTHEBUSINESSMANAGEMENTFIELDTHEELECTRONICINFORM
7、ATIONABOUTPRODUCTSMATERIALSENDCAPITALISSHAREDANDCONVEYEDRAPIDLYTHROUGHNETWORKSALOTOFINFORMATIONISCOLLECTEDANDSTOREDDURINGTHEBUSINESSPROCESSESTHISBRINGSPLENTYOFDECISIONMAKINGDATAFORMANAGEMENTPROCESSES,BUTISALSOANEWREQUIREMENTFORTHETECHNOLOGYOFPROCESSINGSOMANYDATAMOSTBUSINESSDECISIONSSHOULDBEMADEINTER
8、MSOFTHESEDATAMANYIMPORTANTDECISIONS,HOWEVER,ARENOTMADEINTHELIGHTOFTHESERAREDATABUTBYDECISIONMAKERSINTUITIONTHISISBECAUSEOFTHELACKOFTOOLSUSEDTOFINDTHEUSEFULKNOWLEDGEANALYZINGAUTOMATICALLYANDINTELLIGENTLYTHEDATAINTHEDATABASETOOBTAINACCURATEDECISIONMAKINGINFORMATIONISEXPECTEDTHISJSWHEREDATAMININGCOMESI
9、NDATAMININGDMISASETOFTECHNIQUESUSEDINALLAUTOMATEDAPPROACHTOEXHAUSTIVELYEXPLOREANDBRINGTOTHESURFACECOMPLEXRELATIONSHIPSINVERYLARGEDATASETSDATAMININGSOMETIMESCALLEDDATAORKNOWLEDGEDISCOVERYINDATABASESISONEOFTHEIMPORTANTTECHNOLOGIESOFINTELLIGENTINFORMATIONTECHNOLOGYATPRESENTFURTHERMORE,WITHTHEPROGRESSOF
10、SCIENCETECHNOLOGYANDCOMPLICATIONOFBUSINESSSCALEANDPATTERN,FOREXAMPLE,THEEMERGINGOFELECTRONICCOMMERCE,SIMPLEQUANTITATIVEDECISIONMAKINGMETHODCANNOTMEETTHENEEDMAKINGDECISIONJIESHIPOINTEDOUTTHATWESHOULDMAKEEFFECTIVEUSEOFQUALITATIVEINFORMATIONINTHEPROCESSOFDECISIONMAKING”THATISPEOPLESKNOWLEDGEEXPERIENCEA
11、NDLOGICTHINKINGANDREASONINGALEUSEDTOMAKETHEIMPROVEMENTOFQUANTITATIVEMODELSANDQUALITATIVEANALYSISUNIFIEDJIESHIBELIEVEDTHATDEVELOPINGTHEMETHODSOFDECISIONMAKINGBASEDONKNOWLEDGE,THINKINGORIENTEDANDHAVINGTHECHARACTERISTICOFECONOMICBECOMETHEMAINAPPROACHOFMANAGEMENTDECISIONATPRESENTSO,THECOMBINATIONOFDECIS
12、IONMAKERSINTUITIONANDLOGIC,EXPERIENCEANDTECHNOLOGYSHOULDBEREGARDEDECONOMICWORKISTHEKINDOFACTIVITYTHATACTIONISPLANNEDANDSUPERVISEDBYTHINKINGWHICHISPROVIDEDWITHTHINKINGSTRATEGIES,METHODSANDTECHNIQUESBYLOGICECONOMICLOGIC,ONEOFTHELOGICFIELDS,HASBECOMEAPOPULARANDADVANCEDTOPICMANYRESEARCHESABOUTITHAVEBEEN
13、DONE,AMONGWHICHHAVEACHIEVEDINACERTAINEXTENT14JHOWEVER,ONLYFEWAPPLICATIONSANDRESEARCHESTOMANAGEMENTDECISIONAREABASEDONTHECOMBINATIONOFITANDECONOMICLOGICTHEDISCUSSIONSABOUTTHEFUNCTIONSANDSTRUCTUREOFECONOMICLOGICDURINGTHEMOSTOFSTEPSOFINFORMATIONPROCESSINGAREFEWERASISDISCUSSEDABOVE,DEPENDENCEONITANDNETW
14、ORKHASBEENBIGGERANDBIGGERUNDERINFORMATIONECONOMYAGECONSEQUENTLY,THESEFORCEDUSTODOMORERESEARCHESFOCUSONMANAGEMENTDECISIONREGARDINGBUSINESSMANAGEMENTPRACTICEANDFACINGTHEMETHODOFECONOMICLOGICTHINKINGUNDERTHENEWECONOMICMODELTOMEETTHENEEDOFINFORMATIONECONOMYAGETHISPAPERAPPLIESINTELLIGENTINFORMATIONPROCES
15、SINGTECHNOLOGYFACINGTHEECONOMICLOGICONBUSINESSMANAGEMENTDECISIONACTIVITIES,ESPECIALLYCUSTOMERRELATIONSHIPMANAGEMENTCRMANDTHEMETHODSANDPATTERNSOFECONOMICLOGICAREDISCUSSEDTHEPAPERALSODISCUSSESAREALCASEBASEDONDECISIONMAKINGREGARDINGBUSINESSMANAGEMENTPRACTICEANDFACINGTHEMETHODOFECONOMICLOGICTHINKING2THE
16、PROBLEMOFCUSTDMERRELATL0NSHLPMANAGEMENTINELETRONICCOMMERCETHECOMPETITIONAMONGBUSINESSESANDTHECHANGINGMARKETFORCEBUSINESSTOTURNPRODUCTBASEDSTRATEGIESINTOCUSTOMERBASEDSTRATEGIESTHEDEVELOPINGPRODUCINGANDSELLINGSHOULDMATCHTHENEEDSOFCUSTOMERSTOREDUCECOSTSANDINCREASEPROFITABILITYTHESEPROBLEMSBELONGTOCUSTO
17、MERRELATIONSHIPMANAGEMENTCRM,INWHICHCUSTOMERSEGMENTATIONISONEOFTHEIMPORTANTPROBLEMSCUSTOMERSEGMENTATIONISTHEPRACTICEOFDIVIDINGACUSTOMERBASEINTOGROUPSOFINDIVIDUALSTHATAMSIMILARINSPECIFICWAYSRELEVANTTOMARKETINGSUCHASAGE,GENDER,INTERESTS,SPENDINGHABITS,ANDSOONUSINGSEGMENTATIONALLOWSCOMPANIESTOTARGETGRO
18、UPSEFFECTIVELY,ANDALLOCATEMARKETINGRESOURCESTOBESTEFFECTINADDITION,ITWILLBEASERIOUSPROBLEMANDRESULTINTOBIGLOSSTOENTERPRISESIFTHEDIRECTORSOREMPLOYEESWORKINGINTHEMARKETINGDEPARTMENTWHOHAVEALOTOFMARKETINGEXPERIENCESANDCUSTOMERSINFORMATIONRESIGNORARCDISMISSEDHOWTOAVOIDTHELOSSANDHOWTOABSTRACTTHESEKNOWLED
19、GEANDRULESFROMTHEIREXPERIENCESAREALSOTHEPROBLEMSWHICHSHOULDBESOLVEDBYCUSTOMERSEGMENTATIONONEOFPURPOSESOFIMPLEMENTINGCRMISTOINCREASECUSTOMERRETENTIONUNDERSTANDINGTHEREASONWHYCUSTOMERPURCHASESAGAINISTHEKEYFACTOROFCUSTOMERRETENTIONONTHEONEHANDCUSTOMERSEGMENTATIONBASEDONTHEACTIONOFCUSTOMERSPURCHASINGAGA
20、INISHELPFULTOIMPLEMENTTHEPURPOSESOFCRMSUCHASCUSTOMERCENTRIC,ONETOONEMARKETING,INCREASINGCUSTOMERRETENTIONANDSATISFACTORYONTHEOTHERHAND,THERESULTSOFCUSTOMERSEGMENTATIONMAKECUSTOMERSINFORMATIONORGANIZED,PATTERNEDAANDSTOREDINACONSEQUENCE,ITCOULDREDUCETHELOSSBYTHEDEMISSIONOFTHEDIRECTORSOREMPLOYEESWHOWOR
21、KINTHEMARKETINGDEPARTMENTTHEPROBLEMSINVOLVETHECOLLECTIONOFRAREDATA,THEPROCESSINGOFDATAANDTHEEVALUATIONANDANALYSISTHERESULTSTHEFUNCTIONSOFECONOMICLOGICTOCUSTOMERRELATIONSHIPMANAGEMENTDECISIONAREDISCUSSEDINTHEFOLLOWINGSECTION3THEFUNCTONSOFECONOMICLOGICTOCUSTOMERRELATIONSHIPMANAGEMENTELECTRONICCOMMERCE
22、31ECONOMICLOGICECONOMICLOGIC,ASONEOFTHELOGICFIELDSHASBECOMEAHOTANDFRONTIERTOPICITPLAYSANIMPORTANTROLEINTRAININGANDIMPROVINGTHEQUALITYOFRESEARCHERSANDMANAGERSLOGIC,ESPECIALLYECONOMICLOGIC,STRESSESTHATTRAININGTHEMOTIONALSPIRITBEINGCONSISTENTWITHTHEDEVELOPINGOFSOCIETYECONOMYAFOOTSTONEOFTHINKINGFORTHECO
23、NSTRUCTIONOFHARMONIOUSSOCIETY,ITPLAYSNRATIONALINSTRUCTIVEANDINSTRUCTIVEROLE,MANYOFVARIOUSSTUDIESHAVEBEENDONEBYSCHOLARSANDEXPERTSSINCE1980SASANORGANICLOGICSYSTEM,ECONOMICLOGICHABEENESTABLISHEDOUTOFTHESYNTHESIZINGOFTHEADVANTAGEOFECONOMICSCIENCELOGIC,ECONOMICGAMELOGIC,ECONOMICPRAGMATICLOGIC,ECONOMICAAC
24、CRETELOGICITEMPHASIZESTHEVARIOUSASPECTSANDPROCESSESOFECONOMICACTIVITIES,ANDRESULTSFROMTHEOVERALLSUMMARYOFTHETHINKINGCHARACTER,RULESANDMETHODSOFTHEECONOMICACTIVITIESECONOMICLOGICISANECESSARYRESULTOFINFORMATIONECONOMYAGE,ANDWILLPLAYMOREROLESTHROUGHLINKINGTIGHTLYWITHECONOMICPRACTICE32THEINSTRUCTIONALFU
25、NCTIONOFTHECOMPREHENSIVECONDITIONPRINCIPLEINECONOMICLOGICTOCUSTOMERSEGMENTATIONHERBERTASIMONBELIEVEDTHATDECISIONMAKINGISANIMPORTANTPARTOFMANAGEMENTTHESCIENTIFICDECISIONMAKINGCANIMPROVEMANAGEMENTPRODUCTIVITY,ANDSCIENTIFICDECISIONMAKINGISBASEDONTHEPROCESSINGTOAGREATOFECONOMICDATAWORKINGANDTHINKINGISDE
26、PENDINGONEACHOTHERTHEPRACTICALWORKIMPLICATESTHINKINGANDLOGICECONOMICLOGICHASINSTRUCTIONALINFLUENCETOMANAGEMENTDECISIONDURINGTHEECONOMICINFORMATIONPROCESSING,ASISDISCUSSEDINTHESECTION,CUSTOMERSEGMENTATIONISIMPORTANTTOSOLVEBUSINESSMANAGEMENTANDENHANCETHECOMPETITIONOFBUSINESSESTHEFOLLOWINGPROBLEMISWHAT
27、ISTOBEBEGUNWITHALOTOFINFORMATIONISCOLLECTEDANDSTOREDDURINGTHEPROCESSOFAPPLYINGELECTRONICCOMMERCETECHNOLOGYTOBUSINESSACTIVITIESWHATUSESHAVETHESEDATAACCORDINGTOTHECOMPREHENSIVECONDITIONPRINCIPLEOFECONOMICLOGIC。COMMONRELATIONSEXISTAMONGORASIDESOCIALANDNATURALPHENOMENONINTHISWORKOFCUSTOMERSEGMENTATIONTH
28、ERELATIONANDTRENDINSIDEDATAABOUTCUSTOMERMUSTBECLARIFIEDINORDERTOFINDTHERULESOFCUSTOMERSEGMENTATIONBUT,ITNEEDSTOBENOTICEDTHATECONOMICLOGICDURINGINFORMATIONPROCESSINGOFELECTRONICCOMMERCEISDIFFERENTFROMTRADITIONALLOGICTHEREASONISBECAUSETHEDATAINTHEDATABASESISCHANGINGANDDYNAMICRAPIDLYTHEDYNAMICANDADAPTI
29、VEMETHODSOFECONOMICLOGICRESEARCHANDAPPLICATIONAREPROPOSEDINTHEPAPER,THATIS,THEPROCESSINGRESULTSMUSTBETESTEDINTHEECONOMICACTIVITIESTOGUARANTEECORRECTNESSANDVALIDITYATTHESAMETIME,THEMETHODSSHOULDVARYWITHCHANGINGDATAORINFORMATIONINTHEELECTRONICECOMMERCEACTIVITIESTHEPAPERTAKESTHEDATAABOUTCUSTOMERSANDTRA
30、NSACTIONSASTHESTUDYINGOBJECTIVEBASEDONTHEABOVETHOUGHTSDECISIONTREEINDATAMININGTECHNOLOGIESISUSEDTOCOMPLETEDATAPROCESSING33APPLICATIONOFECONOMICLOGICDURINGTHEDECISIONTREEPROCESSINGDATACLASSIFICATIONISANIMPORTANTTOPICINTHEDATAMININGITISTHATSTOREDDATAISUSEDTOLOCATEDATAINPREDETERMINEDGROUPSITFALLSINTOTH
31、EFOLLOWINGCATEGORIESBASEDONVARIOUSCLASSIFICATIONMODELSDATACLASSIFICATIONBASEDONDECISIONTREEMODEL,DATACLASSIFICATIONBASEDONNEUTRALNETWORKMODEL,DATACLASSIFICATIONBASEDONGENERICPROGRAMMINGMODELDATACLASSIFICATIONBASEDONROUGHSETMODELETCWHATCATEGORYISSUITABLEACCORDINGTOTHETHINKINGMETHODOFECONOMICLOGIC,SUM
32、MARIZATIONMETHODISAPPLIEDTOCONCLUDEFROMINDIVIDUALITYTHEDATARECORDERSINTHEDATABASESTOUNIVERSALITYTHECLASSIFICATIONRULESCUSTOMERSEGMENTATIONISAPREDICTIVECLASSIFICATION,THATIS,EVERYSAMPLEPROCESSEDHASBEENCLASSIFIEDINADVANCEADECISIONTREEISJUSTAPREDICTIVEMODELDECISIONTREKISTREESHAPEDSTRUCTURESTHATREPRESEN
33、TSETSOFDECISIONSTHESEDECISIONSGENERATERULESFORTHECLASSIFICATIONOFADATASETSO,APPLYINGDECISIONTREEISSUITABLE34APPLICATIONOFECONOMICLOGICINTHEPROCESSINGRESULTS341GUARANTEEINGCORRECTNESSANDVALIDITYOFTHERESULTS,INORDERTOGUARANTEECORRECTNESSANDVALIDITYOFTHERESULTS,YOUSHOULDTESTTHECONSTRUCTEDDECISIONTREEBY
34、THEOTHERSETOFDATASAMPLESSOTHEDECISIONTREECONSTRUCTIONISDIVIDEDINTOTWOPHASESSETTINGUPTREEUSEDATATRAININGSAMPLESTOSETUPTHETREEADJUSTINGTREETESTMETREEIFITCALLNOTMATCHTHENEEDITWILLBEADJUSTCUTTINGORADDINGNODSUNTILSETTINGUPACORRECTTREETHEN,YOUCANCOMPAREATTRIBUTESBETWEENINTERNALNODES,ANDMAKETHECONCLUSIONAT
35、THELEAFNODES342EXTRACTINGRULESFROMTHERESULTSTHECLASSIFICATIONRESULTSSHOULDBEEXTRACTEDTOOBTAINCLASSIFICATIONSCHEMESORRULESABLETOSUPPORTBUSINESSMARKETINGTHEATTRIBUTESOUEACHPATHFROMTHEROOTNODETOEACHLEAFNODEAREAPPLIEDEXTRACTINGPRINCIPLETOOBTAINEACHIFTHENRULETHEN,AGROUPOFRULESCANBEOBTAINEDACCORDINGTOTHEW
36、HOLETREE,WHICHCANBESTOREDINTHEWAYOFKNOWLEDGEBASEWHENANEWCUSTOMERCOMES,YOUCANUSETHESERULESACCORDINGTOHISATTRIBUTESTOJUDGEHISCATEGORYSOASTOSUPPLYPROPERMARKETINGSTRATEGIES4CASEANALYSIS41DATADESCRIPTIONOFCUSTOMERSEGMENTATIONINAFOODCOMPANYTHEDATASETOF2100RECORDSOFCUSTOMERINFORMATION,CONSISTSOFTWOUNEQUALS
37、UBSETS,ONEREPRESENTINGTHETRAININGSET1800RECORDSANDTHEOTHERTHETESTINGDATASET300RECORDSTHESEVERALATTRIBUTESINTABLEREPRESENTTHEEVALUATIONINDICATORS,WHICHREFLECTTHECUSTOMERSCHARACTERISTICSINADDITION,THERECORDSINTHEDATASETHAVEINADVANCEBEENDIVIDEDINTOTWOCATEGORIES,ONEPURCHASINGAGAINANDTHEOTHERNOT42SUMMARI
38、ZINGLOGICALLYCUSTOMERSEGMENTATIONTHECUSTOMERSEGMENTATIONWORKOFTHEABOVEINCLUDESTHEFOLLOWINGSTEPSDECIDETHECLASSIFICATIONATTRIBUTETHEACTIONOFPURCHASINGAGAINDATAPRECLASSIFICATIONUSEFULDATAISCHOSENREDUCETHEBADINFECTIONOFUSELESSDATAANALYZERELATIVITYBETWEENATTRIBUTESDELETEWEAKANDNONRELATIVITYCONSTRUCTDECIS
39、IONTREEINTERMSOFDECISIONTREEPROGRAMMINGEXTRACTMERULESFROMDECISIONTREEANDSTORETHERULES43RESULTSANDDISCUSSIONTHEFINALDECISIONTREESHOWNBYFIGURELCANBECONSTRUCTEDBYUSINGTHEID3ARITHMETICOFTHEDECISIONTREETHERULESAREOBTAINEDWECANFINDOUTTHESERULESANALYSISTHATTHESERULESINCLUDETWOCATEGORIESTESTINGRULESIFSATISF
40、ACTORYOFSALESSERVICEBADANDADDRESSDEVELOPEDTHENTHEACTIONOFPURCHASINGAGAINFALSETHISRULESHOWSTHATSALESSERVICEISTHEKEYFACTOROFMARKETINGTHEREFORE,IFYOUWANTTOINCREASETHEACTIONOFPURCHASINGOFTHISKINDOFCUSTOMERS,YOUHAVETOMAKEMARKETINGSTRATEGIESREGARDINGSATISFACTORYOFSALESSERVICEENLIGHTENINGRULESWEFINDSOMERUL
41、ESWHICHCANNOTBEEXPECTEDOFTHOUGHOUTINADVANCEFOREXAMPLEIFSATISFACTORYOFSALESSERVICEAVERAGEANDATTITUDETOPRODUCTQUALITYGOODORAVERAGEANDQUANTOFPURCHASINGHIGHORMIDDLEANDSIZEOFCOMPANYLARGEORMIDDLEANDSIZEOFCOMPANYLARGEORMIDDLETHENTHEACTIONOFPURCHASINGAGAINFALSEWETHOUGHTTHATTHISKINGOFLARGEANDMIDSIZEDCOMPANIE
42、SSHOULDPURCHASEMUCHONTHECONTRARY,THEYDONOTBECAUSEOFTHEIRBIGSCALE,THEYHAVEMORECHANNELSTOCHOOSETHEYALWAYSSEEKBETTERGOODSANDSERVICESTHEYAREOURVALUABLECUSTOMERANDARETHEKEYGROUPSOFCUSTOMERRETENTIONSO,WHENTHEMARKETINGDECISIONISMADE,THESTRATEGIESOFLONGTERMINVESTMENTCOMEFIRSTTHECLASSIFICATIONSCHEMESORRULESO
43、BTAINEDFROMTHEEVALUATIONANDANALYSISTHERESULTSBASEDONTHETHINKINGMETHODOFECONOMICLOGICHAVEBEENTESTEDBYTHESTAFFWHOWORKINTHEMARKETINGDEPARTMENTINTHEFOODCOMPANYTHECORRECTANDVALIDRESULTSPROVEDTHATTHEFINALDECISIONTREEISSATISFACTORYACKNOWLEDGEMENTTHISRESEARCHWASSUPPORTEDBYTHENATIONALSOCIALSCIENCEFOUNDATIONO
44、FCHINAUNDERGRANT06BZX050ANDTHETIANJINSOCIALSCIENCERESEARCHPLANNINGPROJECT2005UNDERGRANTTJZX004IAMTHANKFULTOMYCOLLEAGUEPROFESSORLILYZHANGFORENCOURAGEMENTANDHELPAND1WISHTOEXPRESSMYSINCEREAPPRECIATIONTOMYFRIENDSINMYRESEARCHTEAMFORHAPPYCOOPERATIONANDHELPFULNESSANDADMIRATIONTOTHEAUTHORSOFREFERENCESFORGUI
45、DANCE出处ZHIYUZHANG,CONGDONGLI,,MAISHENGQU,SCHOOLOFMANAGEMENT,TIAJINUNIVERSITY,TIANJIN,300072,CHINA。标题基于数据采集对经济理论和电子商务的客户关系管理的研究报告译文摘要论文展示了高效利用将智能信息进程技术和经济理论方法联系在一起的方法,来解决在客户关系管理中的客户分类的问题。研究旨在获得能够支持经济市场分类的方案。先前对解决同一问题的尝试只利用了数据采集的定量技术。对于经济逻辑思考的管理决定方法在本文中提及到。经济逻辑的研究实体是经济活动。在IT和网络技术的广泛应用的支持下,电子商务高速发展。在新的
46、经济形态下,管理不仅需要智能信息技术而且需要逻辑理性的指导和思考。论文奖数据采集中的决策树技术和经济逻辑方法集合来研究电子商务中的客户关系管理。这是一个具有优势的途径,这个途径使数字程序和数字分析能够结合。本文将对实例进行仔细的讨论,讨论出的结果证明面向经济逻辑的管理决定方法是有价值的。关键词经济逻辑,管理决定,数据采集,决策树,客户关系管理1、介绍网络正改变着世界,网络通过一些基本的方法影响人们居住学习工作和娱乐的方式。网络已经成为收集,释放和传达信息的重要途径,这样迫使传统的经济模式去想能用于提高经济效率的方法。在网络更广泛应用和信息技术的逐步提高的支持下,基于网络的电子商务正发展着。如何
47、更快的发展和加强竞争在管理领域是一个热点话题关于产品,材料,资产的电子信息通过网络得到共享和快速传播。大量的信息通过生意过程得到收集和存储。这样为管理进程带来了大量用于做决定的数据,但也是对处理这么多数据技术新的要求。大多数生意决定根据这些数据必须做出。然而,许多重要的决定不是根据这些珍贵的数据而是根据决策者的直觉做出的。这是因为缺乏用于寻找有用信息的工具。为获得作出决定的信息,对数据库中的数据做自动智能的分析是人们所期望的。这是数据采集的来源。数据采集是一种技术装置,这种装置用于达到彻底的探索和使很大的数据装置恢复表面复杂的关系。目前,数据采集(有时称作数据或者信息在数据库中的发现)是一种重
48、要的智能信息技术。此外,随着自然科学的发展和经济规模和模式复杂性的发展,例如,电子商务的出现。简单的数量做决定方法已经不能达到做决定的需要。杰石指出我们必须在做决定的过程中高效的利用数字信息,也就是说,人们的知识经验和逻辑思维和推理被利用于数字模式的提高和统一分析的提高。杰石认为发展基于知识,东方思维的做决定方法以及获取经济特征已经成为决定管理的重要途径。因此,结合做决定的直觉,逻辑,经验和技术应该受到重视。经济工作是这么一种活动,种子活动是计划好的,而且被思维监督,同时受思维策略方法和逻辑技术的支持。作为一个逻辑领域,经济逻辑应急逻辑已经成为一个流行和先进的论题。许多关于它的研究被做出,其中
49、不乏达到一定程度的研究。但是,几乎没有基于IT和经济逻辑结合的决定管理领域的研究和运用。有关在大多数信息进程步骤中经济逻辑功能和结构的讨论就更少了。就像前面讨论的那样,信息经济时代对IT和网络的依赖越来越大,因此,这样迫使我们聚焦于注重经济管理实践的决定管理去做更多的研究,也迫使我们勇于面对新经济模式下的经济逻辑思维方法,以便达到信息经济时代的需要。论文应用智能信息进程技术面向商业管理决定活动的经济逻辑,尤其是客户关系管理。经济逻辑方法和模式在论文中也讨论了。论文也讨论了基于注重商业管理实践和勇于面对经济逻辑思维方法的一个真实的实例。2、电子商务中客户关系管理问题商业竞争和改变的市场使经济由基于产品的策略转向基于客户的侧罗。发展中的生产和销售应该达到客户降低消费,提高收益的需要。这个问题属于客户关系管理的范畴,客户关系管理中客户分离是一个重要的问题,客户分类指根据客户年龄,性别,爱好,消费习惯等将客户分组。分类使公司有效的瞄准群组目标,高效利用市场资源。另外,如果拥有客户信息的市场部主管