基于粗糙集的Web用戶模式挖掘研究.pdf

1、雁霉網(wǎng)分類號——密級UDC學(xué)粵一√彳雇火季碩士學(xué)位論文論文題目：基于粗糙集的Web用戶模式挖掘研究論文作者：鄧松林翥暴、登馨鼉?nèi)兀豪钕鄻醒芯繂T重慶大學(xué)申請學(xué)位級別：碩士專業(yè)名稱：計算機系統(tǒng)結(jié)構(gòu)論文提交日期：2003年4月25日答辯日期：2003年6月11日學(xué)位授予單位：重慶大學(xué)授位日期：2003年6月30日答辯委員會主席：廖曉峰教授博導(dǎo)論文評閱人：汪林林教授王康教授2003年4月25日重慶大學(xué)碩士學(xué)位論文英文摘要W曲Serversare

2、Client—CenteredServers，ABSTRACTUOWevolvingthemselvesSOthetrendofInternetfromServerCenteredtowebsites’developmentisPersonalizationWebSitesPersonalizationWebSiteshouldcatertoeveryWebuser’Sinterestsandadaptitselffrequentlyt

3、otracethefluctuationofwebuser’sinterestsInmoredetail，WhenanoldcustomerofaPersonalizationWebSiteisvisitingthissite，heshouldhavesuchafamiliarfeelingthatitseemsthewholewebsiteisdesignedforhim，whilethenewcomerofaPersonalizat

4、ionWjbsitewouldfeeltheconvenienceoffindingwhatheisinterestedinWiththeexplosivegrowthofinformationSOUrCesavailableontheWjrldWideW曲ithasbecomeincreasinglynecessaryforUSerStoutilizeautomatedtoolsinfindthedesiredinformationr

5、esotirces。SotheapplicationofdataminingtechniquestoWorldWideweb(referredtoasWebminin曲hasbeenthefocusofseveralrecentresearchprojcotsandpapersWiththeexplosivegrowthofinformationsourcesontheWorldWideWeb，ithasbecomeincreasing

6、lynecessaryforE—commercecompanies，珊10havetransfertheWebintotheprimarytoolforitsdevelopment，toutilizedataminingtoolstofind，extractandanalyzeUSeraccesspatternsintheirE—colIl／nercewebsites，InthispaperWeusethedataminingtechn

7、ologyontheW曲SitetofindUSeraccesspatternsanduseuseraccesspatternstoimproveWebSite’Sstructureandcontenttimelyandsatisfiytheusers’needofpersonalizationnlecurrentdomesticandinternationalresearchofwebusageminingisfocusontheUS

8、erSbrowsingpathwhentheUSerSvisitthewebsitesButinthisthesis，weproceedtheconsiderationfromanotherangle，wefocusonthecontentstheUSerspayattentiontowhentheyarevisitingthewebsitesWesubdivideeachpageintooneorseveralconceptsTheU

9、SerofteninterestinsomeofconceptsinallconceptsAtfirstWCbringforwardthewebsite’SConceptTreeMode／onthebasisofwebsite’StopologysecondlyweputforwardakindofmethodwhichCanconvertthetransactionofbrowsingpagespathintothetransacti

10、onofbrowsingconceptspath，andawaytocalculatetheconceptviewtimeaccordingtothepageviewtimeapproximatelyThenweilsetheInterestRecognitionalgorithmbasedontheConceptTreemodelandtheVPRSmodeloftheRoughSettheorytofindUSerconceptmo