基于web日志的用户行为分析-计算机应用技术专业论文.docx

ABSTRACTABSTRACT：ItisbecomingapopulartopicthatthesitebuildersandmaintainersarecaringabouthowtoorganizethelogicalstructureofWebsiteandhowtoprovidetheservicehumanistic．AnalyzingUSerbehaviorsCangivesuggestionsandguidancetooptimizelayoutofsomepagesandthewholearchitectureofWebsiteaccordingtousagerecord，thatis，Weblog．Thispaperintroducessometheoreticalknowledge，suchaStheconceptandcommontechniquesofdatamining,theprinciplesandclassificationofWebmining,thepurposeandprocessofWeblogminingandsometechnicalknowledge，suchaSShell，Struts，HibernateandAppletandSOon．Thispaperdesignsandimplementsauserbehavioranalysissystem．Thesystemhasfourlayers，thepresentationlayer,thepersistencelayer,thebusinesslayerandthedomainmodellayer．ThepresentationlayerusesStruts，thepersistencelayerusesHibernateandthebusinesslayerusesSpring．nerearefourmodulesinthesystem，dataacquirementmodule，datapreprocessingmodule,USeractionsstatisticmoduleandpagesattributestatisticmodule．DataacquirementmoduleachievestogetApachelogandTomcatlog．Datapreprocesslngmodulemal(esuseofadatapreprocessingmodel tocleanthedirtydata．Useractionsstatisticmoduleimplementsthequeriesofuser-action’sequence，user-dayaction．diagram，action-pair-day-diagram；Pageattributestatisticmoduleimplements thequeriesofconvert-radio，element-errors-radio·Thispaperdescribesaprocessofrunninganexampleofawebsitewiththeuserbehavioranalysissystem．Accordingtotheresultoftherunning，wegivesomeadvicetorevisesomepagesandadjustingthearchitectureofthewebsite．ThecustomerbusineSswebsiteadoptsandappliesOuradvice．Itprovedthattheregisterflowincreasesmuchthroughadjustingthepagelayout．Thispaperisthefirsttimetotrytomakeuseofthelogminingtoanalyzethestatisticsofthewebactionelement．ItCanhelptofindoutandconcludethehabitsandmannersofthecustomers’behavior．Tothefurther,itCanprovidesomeimportantguidancetooptimizelayoutsofsomepagesandthearchitectureofawebsite．vIl北京交通人学硕十学位论文KEYWORDS：WebMining；DataMining；WebLog；LogMining；UserBehaviorAnalysis；PageLayoutCLASSNO：TP393学位论文版权使用授权书本学位论文作者完全了解北京交通大学有关保留