关联规则在超市数据分析中的应用

20095收稿日期:2009-06-12作者简介:崔春莉(1975-),女,山东莱州人,讲师,在读研究生,研究方向为:计算机应用:1674-4578(2009)05-0047-02关联规则在超市数据分析中的应用崔春莉1,2,白凤娥2(1.太原旅游职业学院,山西太原030006;2.太原理工大学,山西太原030024):随着信息化建设和应用进程的加快,超市的数据库中积聚了大量的销售信息,本文介绍了数据挖掘中的关联规则在超市数据分析中的应用,帮助企业的决策者根据发展形势的变化及历史数据做出正确的决策:数据挖掘;关联规则;数据分析:TP311.13:A0,,POS,,,,,,,1(DataMining),[1],,,,OLAP(),,,2,[2]:I={i1,i2,,im},(i-tem)DT,T,TI,TIDX,TXXTXY,XI,YI,XY=XYD,s,sDXY(XY),P(XY)XYc,DXYcP(XY)support(XY)=P(XY)confidence(XY)=P(XY)(itemset)kk-,{,}2-,minsup,min-supD,(frequentitemset),,R.AgrawalApriori[3]3,,ABItem,,Item:(1):A,B(2):AB(3):B(4):,ifAthenBS,C,,AB,,minsupminconf,:(FrequentItem-sets),(Asso-ciationRules)(LargeItemsets),(Support),AB2-itemset,{A,B},(MinimumSupport),{A,B}k-itemset,k-(Frequentk-itemset),LargekFrequentkLargekLargek+1,(Associa-tionRules),k-,(MinimumCon-fidence),,:k-{A,B}AB,,,ABPOS,,,D,T,k,kk-,T:{,,,,},Tk=5,5-,,,,:,,70%,,,,,min_support=5%min_confidence=70%,,,,Support(,)=5%Confidence(,)=70%,Support(,)=5%:,5%Confidence(,)=70%:,70%,,,,,,4,,,,[1]张云涛,龚玲.数据挖掘原理与技术[M].北京:电子工业出版社,2004,4:10-16.[2]陈玉婷,王斌,刘博,等.关联规则挖掘算法介绍[J].计算机技术与发展,2006,5:21-25.[3]AgrawalR,SrikantR.FastAlgorithmsforMiningAs-soeiationRules[J].In:ProeofInternationalConferenceonVerylargeDatabases,1994:487-499.[4]费贤举,王文琴,庄燕滨.基于关联规则的数据挖掘技术在CRM中的应用研究[J].常州工学院学报,2005,8(4):85-87.AssociationRulesintheSupermarketDataAnalysisCuiChun-li1,2,BaiFeng-e2(1.TaiyuanTourismCollege,TaiyuanShanxi030006,China;2.TaiyuanUniversityofTechnology,TaiyaunShanxi030024,China)Abstract:Withthespeedingupofconstructionandapplicationofinformationtechnology,thedatabaseaccumulatesofalargenumberofsalesinformation.Thispaperintroducestheapplicationofdataminingassociationrulesindataanalysisofsu-permarket,ithelpsthedecision-makerstomaketherightdecisionsinaccordancewiththedevelopmentofsituationchangesandhistoricaldata.Keywords:datamining;associationrules;dataanalysis482009