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1、ExpertSystemswithApplicationsxxx(2013)xxx–xxxContentslistsavailableatScienceDirectExpertSystemswithApplicationsjournalhomepage:www.elsevier.com/locate/eswaReviewEducationaldatamining:Asurveyandadatamining-basedanalysisofrecentworksAlejandroPeña-Ayala⇑WOLNM&ESIMEZacatenco,Instit
2、utoPolitécnicoNacional,U.ProfesionalAdolfoLópezMateos,EdificioZ-4,2dopiso,cubiculo6,MiguelOthóndeMendizábalS/N,LaEscalera,GustavoA.Madero,D.F.,C.P.07320,MexicoarticleinfoabstractKeywords:Thisreviewpursuesatwofoldgoal,thefirstistopreserveandenhancethechroniclesofrecenteduca-Datami
3、ningtionaldatamining(EDM)advancesdevelopment;thesecondistoorganize,analyze,anddiscussthecon-Educationaldataminingtentofthereviewbasedontheoutcomesproducedbyadatamining(DM)approach.Thus,asresultoftheDataminingprofileselectionandanalysisof240EDMworks,anEDMworkprofilewascompiledtode
4、scribe222EDMEducationaldataminingapproachpatternapproachesand18tools.AprofileoftheEDMworkswasorganizedasarawdatabase,whichwastrans-Patternfordescriptiveandpredictiveformedintoanad-hocdatabasesuitabletobemined.Asresultoftheexecutionofstatisticalandclus-educationaldataminingapproa
5、chesteringprocesses,asetofeducationalfunctionalitieswasfound,arealisticpatternofEDMapproacheswasdiscovered,andtwopatternsofvalue-instancestodepictEDMapproachesbasedondescriptiveandpre-dictivemodelswereidentified.Onekeyfindingis:mostoftheEDMapproachesaregroundonabasicsetcomposedby
6、threekindsofeducationalsystems,disciplines,tasks,methods,andalgorithmseach.ThereviewconcludeswithasnapshotofthesurveyedEDMworks,andprovidesananalysisoftheEDMstrengths,weakness,opportunities,andthreats,whosefactorsrepresent,inasense,futureworktobefulfilled.Ó2013PublishedbyElsevie
7、rLtd.1.IntroductionaclassicCBIS.Thereby,DMoutcomesrepresentavaluablesupportfordecisions-making.1Datamining(DM)isacomputer-basedinformationsystemConcerningeducation,itisanovelDMapplicationtargetfor(CBIS)(Vlahos,Ferratt,&Knoepfle,2004)devotedtoscanhugedataknowledgediscovery,decisi
8、ons-making,andrecommendationrepositories,generateinfor