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1、英文原文毕业设计(论文)外文翻译题目对零售超市数据进行最优产品选择的数据挖掘框架:广义PROFSET模型专业网络工程1外文翻译13外文翻译附录英文原文ADataMiningFrameworkforOptimalProductSelectioninRetailSupermarketData:TheGeneralizedPROFSETModel1IntroductionSincealmostallmidtolargesizeretailerstodaypossesselectronicsalestransactionSystems,retailersrealizethatcompe
2、titiveadvantagewillnolongerbeachievedbythemereuseofthesesystemsforpurposesofinventorymanagementorfacilitatingcustomercheck-out.Incontrast,competitiveadvantagewillbegainedbythoseretailerswhoareabletoextracttheknowledgehiddeninthedata,generatedbythosesystems,anduseittooptimizetheirmarketingdec
3、isionmaking.Inthiscontext,knowledgeabouthowcustomersareusingtheretailstoreisofcriticalimportanceanddistinctivecompetencieswillbebuiltbythoseretailerswhobestsucceedinextractingactionableknowledgefromthesedata.Associationrulemining[2]canhelpretailerstoefficientlyextractthisknowledgefromlargere
4、taildatabases.Weassumesomefamiliaritywiththebasicnotionsofassociationrulemining.Inrecentyears,alotofeffortintheareaofretailmarketbasketanalysishasbeeninvestedinthedevelopmentoftechniquestoincreasetheinterestingnessofassociationrules.Currently,inessencethreedifferentresearchtrackstostudythein
5、terestingnessofassociationrulescanbedistinguished.First,anumberofobjectivemeasuresofinterestingnesshavebeendevelopedinordertofilteroutnon-interestingassociationrulesbasedonanumberofstatistical13外文翻译propertiesoftherules,suchassupportandconfidence[2],interest[14],intensityofimplication[7],J-me
6、asure[15],andcorrelation[12].Othermeasuresarebasedonthesyntacticalpropertiesoftherules[11],ortheyareusedtodiscovertheleast-redundantsetofrules[4].Second,itwasrecognizedthatdomainknowledgemayalsoplayanimportantroleindeterminingtheinterestingnessofassociationrules.Therefore,anumberofsubjective
7、measuresofinterestingnesshavebeenputforward,suchasunexpectedness[13],actionability[1]andruletemplates[10].Finally,themostrecentstreamofresearchadvocatestheevaluationoftheinterestingnessofassociationsinthelightofthemicro-economicframeworkoftheretail