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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,retailersrealizethat
2、competitiveadvantagewillnolongerbeachievedbythemereuseofthesesystemsforpurposesofinventorymanagementorfacilitatingcustomercheck-out.Incontrast,competitiveadvantagewillbegainedbythoseretailerswhoareabletoextracttheknowledgehiddeninthedata,generatedbythosesystems,anduseittooptimizetheirma
3、rketingdecisionmaking.Inthiscontext,knowledgeabouthowcustomersareusingtheretailstoreisofcriticalimportanceanddistinctivecompetencieswillbebuiltbythoseretailerswhobestsucceedinextractingactionableknowledgefromthesedata.Associationrulemining[2]canhelpretailerstoefficientlyextractthisknowl
4、edgefromlargeretaildatabases.Weassumesomefamiliaritywiththebasicnotionsofassociationrulemining.Inrecentyears,alotofeffortintheareaofretailmarketbasketanalysishasbeeninvestedinthedevelopmentoftechniquestoincreasetheinterestingnessofassociationrules.Currently,inessencethreedifferentresear
5、chtrackstostudytheinterestingnessofassociationrulescanbedistinguished.First,anumberofobjectivemeasuresofinterestingnesshavebeendevelopedinordertofilteroutnon-interestingassociationrulesbasedonanumberofstatistical13外文翻译propertiesoftherules,suchassupportandconfidence[2],interest[14],inten
6、sityofimplication[7],J-measure[15],andcorrelation[12].Othermeasuresarebasedonthesyntacticalpropertiesoftherules[11],ortheyareusedtodiscovertheleast-redundantsetofrules[4].Second,itwasrecognizedthatdomainknowledgemayalsoplayanimportantroleindeterminingtheinterestingnessofassociationrules
7、.Therefore,anumberofsubjectivemeasuresofinterestingnesshavebeenputforward,suchasunexpectedness[13],actionability[1]andruletemplates[10].Finally,themostrecentstreamofresearchadvocatestheevaluationoftheinterestingnessofassociationsinthelightofthemicro-economicframeworkoftheretail
