數(shù)據(jù)挖掘技術在web學習系統(tǒng)中的應用研究

1、廣東技術師范學院碩士學位論文數(shù)據(jù)挖掘技術在web學習系統(tǒng)中的應用研究姓名：汪志云申請學位級別：碩士專業(yè)：系統(tǒng)理論指導教師：吳新玲201105II英文摘要英文摘要AsthedevelopmentoftheintertechnologyrecentlyLearningbasedonWebisacceptedbypeoplepopular.butsomeproblemsexist.Suchaswhenthelearnersfacealotof

2、learningresourcestheyfeel“datarichbutknowledgepo“.HowtothelearnerslearningresourcesfromthelearningresourcesisadifficultprobleminWeblearningdomainthatshouldberesolvedinashttime.Dataminingtechnologyisatechnologywhichfindus

3、efulinfmationfromalotofdataWebdataminingisdataminingtechnologyusedinWebenvironment.WebusageminingisaimptantpartofWebdataminingwhichmainlyusethewebserversvisitinglogfilestomine.Thelearnerslearningactionismainlybyvisitingt

4、hewebpagecontent.thelearnersvisitinginfmationeverytimeissavedinthewebserverlogfilesinwhichthelearnerslearningpatternsthewebsitesstructureshouldbereflected.UsingWebusagemininganalyzethelogfilesItshoudfindthehiddenvaluable

5、infmation.FirstanalyzingtheWebusagemingsdatasourcedistillingtheiginallogfilesusingSQLSERVER2005sDTSfunctiontransfmthemintothetraditionalrelationdatabaseAfterpurifyingthedatarecognisingtheusersamendingthepathrecognisingth

6、esessionbuildingawebpageuserrelatedmatrix.Secondundertheinstructoffuzzypartitionclusteringtheyabasedonvectsalgithmispresented.Usingeuclideandistancemeasurethesimilarlearnersrelevantwebpagesitcangainthesimilarlearnergroup

7、srelevantwebpageaggregates.Inadditionanalyzingtherelevantwebpageaggregatesfurthercanfindthefrequentvisitedpathofthelearners.Thefoundsimilarlearnergroupsrelevantwebpageaggregatesthefrequentvisitedpathhaveimptfunctioninins

8、tructingthelearnerslearningbuildingthewebsite.Finallyusingareallearningwebsitefetchingthedatathatpartoflearnershavevisitedinasectiontimevalidatingthealgithmtheresultshowitisfeasible.Keywds:WebLearningDataMiningWebusageMi