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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,re
2、tailersrealizethatcompetitiveadvantagewillnolongerbeachievedbythemereuseofthesesystemsforpurposesofinventorymanagementorfacilitatingcustomercheck-out.Incontrast,competitiveadvantagewillbegainedbythoseretailerswhoareabletoextracttheknowledgehiddeninthedata,generatedbyth
3、osesystems,anduseittooptimizetheirmarketingdecisionmaking.Inthiscontext,knowledgeabouthowcustomersareusingtheretailstoreisofcriticalimportanceanddistinctivecompetencieswillbebuiltbythoseretailerswhobestsucceedinextractingactionableknowledgefromthesedata.Associationrule
4、mining[2]canhelpretailerstoefficientlyextractthisknowledgefromlargeretaildatabases.Weassumesomefamiliaritywiththebasicnotionsofassociationrulemining.Inrecentyears,alotofeffortintheareaofretailmarketbasketanalysishasbeeninvestedinthedevelopmentoftechniquestoincreasethei
5、nterestingnessofassociationrules.Currently,inessencethreedifferentresearchtrackstostudytheinterestingnessofassociationrulescanbedistinguished.First,anumberofobjectivemeasuresofinterestingnesshavebeendevelopedinordertofilteroutnon-interestingassociationrulesbasedonanumb
6、erofstatistical13外文翻译propertiesoftherules,suchassupportandconfidence[2],interest[14],intensityofimplication[7],J-measure[15],andcorrelation[12].Othermeasuresarebasedonthesyntacticalpropertiesoftherules[11],ortheyareusedtodiscovertheleast-redundantsetofrules[4].Second,i
7、twasrecognizedthatdomainknowledgemayalsoplayanimportantroleindeterminingtheinterestingnessofassociationrules.Therefore,anumberofsubjectivemeasuresofinterestingnesshavebeenputforward,suchasunexpectedness[13],actionability[1]andruletemplates[10].Finally,themostrecentstre
8、amofresearchadvocatestheevaluationoftheinterestingnessofassociationsinthelightofthemicro-economicframeworkoftheretail