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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模型专业网络工程班级041班学生朱朋伟指导教师李薇2008年1外文翻译13外文翻译附录英文原文ADataMiningFrameworkforOptimalProductSelectioninRetailSupermarketData:TheGeneralizedPROFSETModel1IntroductionSincealmostallmidtolargesizeretailerstodaypossesselectronicsalestra
2、nsactionSystems,retailersrealizethatcompetitiveadvantagewillnolongerbeachievedbythemereuseofthesesystemsforpurposesofinventorymanagementorfacilitatingcustomercheck-out.Incontrast,competitiveadvantagewillbegainedbythoseretailerswhoareabletoextracttheknowledgehiddeninthedata
3、,generatedbythosesystems,anduseittooptimizetheirmarketingdecisionmaking.Inthiscontext,knowledgeabouthowcustomersareusingtheretailstoreisofcriticalimportanceanddistinctivecompetencieswillbebuiltbythoseretailerswhobestsucceedinextractingactionableknowledgefromthesedata.Assoc
4、iationrulemining[2]canhelpretailerstoefficientlyextractthisknowledgefromlargeretaildatabases.Weassumesomefamiliaritywiththebasicnotionsofassociationrulemining.Inrecentyears,alotofeffortintheareaofretailmarketbasketanalysishasbeeninvestedinthedevelopmentoftechniquestoincrea
5、setheinterestingnessofassociationrules.Currently,inessencethreedifferentresearchtrackstostudytheinterestingnessofassociationrulescanbedistinguished.First,anumberofobjectivemeasuresofinterestingnesshavebeendevelopedinordertofilteroutnon-interestingassociationrulesbasedonanu
6、mberofstatistical13外文翻译propertiesoftherules,suchassupportandconfidence[2],interest[14],intensityofimplication[7],J-measure[15],andcorrelation[12].Othermeasuresarebasedonthesyntacticalpropertiesoftherules[11],ortheyareusedtodiscovertheleast-redundantsetofrules[4].Second,itw
7、asrecognizedthatdomainknowledgemayalsoplayanimportantroleindeterminingtheinterestingnessofassociationrules.Therefore,anumberofsubjectivemeasuresofinterestingnesshavebeenputforward,suchasunexpectedness[13],actionability[1]andruletemplates[10].Finally,themostrecentstreamofre
8、searchadvocatestheevaluationoftheinterestingnessofassociationsinthelightofthemicro-econom
