基于Web日志的用戶(hù)訪問(wèn)序列模式研究.pdf

1、東北師范大學(xué)碩士學(xué)位論文基于Web日志的用戶(hù)訪問(wèn)序列模式研究姓名：左丹申請(qǐng)學(xué)位級(jí)別：碩士專(zhuān)業(yè)：計(jì)算機(jī)應(yīng)用技術(shù)指導(dǎo)教師：姜華20090501AstheIntemetgrows，communicateandmanageinformation，ithasbecomeeveryuseLAbstractWebbecameaneffectiveplatformonwhichpeopleAmassofdataisstoredinitBecauseof

2、enormousmoreandmoredifficulttodiscoverusefulinformationtOInordertosolvethatproblem，applicationofdataminingtechniquestoInternet，WebminingemergesWebusagesminingisoneofthemostimportantresearchdirectionsinthewebminingresearc

3、hfieldTheaimofitistofindoutusertraversalpatternsofwebsitesItwillhelpUStOimprovethesite’SstructureandprovidethebetterservicetotheUSersThispaperresearcheshowtominetheusertraversalpatternsbasedonweblogToavoidthehugeofcandid

4、atepatternsduringuseraccesspatternmining，wepresentanewalgorithmUAP。miner(UserAccessPatternmining)foruseraccesspatternminingThealgorithmfacilitatesthetedioussupportcountingandcandidategeneratingoperationsintheminingproced

5、ureUAPtree(useraccesspatterntree)isusedtegisteruseraCCeSSsequenceandcorrespondingcounts，SOthatthetedioussupportcountingcanbeavoidedOncetheUAPtreeisbuilt，alltheremainingminingprocessingisbasedontheUAPtreeTheoriginalaccess

6、databaseisnotneededanymore；allefficientrecursivealgorithmisproposedtofinduseraCCeSSpatternfromUAPtreeNocandidategenerationisrequiredintheminingprocedureIntheend，thealgorithmistovalidateusingthetrialdataKeywords：Webmining