蟻群算法在Web日志挖掘中的研究與應用.pdf

1、重慶大學碩士學位論文蟻群算法在Web日志挖掘中的研究與應用姓名：謝琴申請學位級別：碩士專業(yè)：計算機應用技術指導教師：郭平20060401重慶大學碩士學位論文英文摘要IIABSTRACTAstheinfmationonwebsiteismemeabundantthetopologyofitismemecomplex“infmationoverloading”“resourcemaze”ininfmationserviceareubiqui

2、tous.Fromthepointofviewofauserdifferentusershavedifferentaccessingintentiontheaccessingintentionofoneusermayvaryatdifferenttimes.Ontheotherhonlyifusersaccessingneedshavebeensatisfiedintimecaninfmationservicequalitybeimpr

3、ovedsothatadministratscanreceivemeeconomicbenefits.Adaptivewebsitesemergeasitisrequiredtosolvetheproblemspuzzlingbothuserswebsiteadministrats.Itautomaticallyimprovestheganizationpresentationbylearningfmvisitsaccessingpat

4、ternsminedfromwebserverlogswithintentiontoproducemeeasilynavigablewebsites.AntColonyAlgithmisanovelsimulatedevolvementalgithmsolvingcomplicatedcombinatialoptimizationproblemitstypicalfeatureisswarmintelligence.AntColonyA

5、lgithmhasbeenappliedinmanyareasduetotheadvantageinsolvingcombinatialoptimizationproblem.Therefetheapplicationoftheantcolonyalgithmtowebusageminingcanhelptoserveusersmeefficientlythroughimplementingadaptivewebsitesnamelyt

6、ransfmingtheknowledgeextractedfromWebusagedataintowebsiteintelligence.Acquiringinfmationthathowwebsitesareaccessedbyusersisaguaranteeofrealizingeffectiveperfmanceofadaptivewebsites.Thispapermainlyresearchesonhowtoanalyze

7、webserverlogswithwebminingtechnologytoobtaintheinfmation.TostudywebsiteadaptionthispaperpresentsWebminingalgithmbasedonintelligentbehaviofantcolonywhichistransfmedintointelligenceofwebsitesindertoprovideindividualrecomme

8、ndationsdifferentviewstodifferentusers.Theresearchismainlyfocusedonthefollowingaspects.(1)Analyzesdemsofadaptivewebsitediscussestheuseraccessingmodeldifferentuseraccessingpatternsthatcanbeminedwithwebminingtechnology.(2)

9、Analyzesthesimilaritybetweenantcolonyfagingbehaviusersviewingpagebehavi.BasedonantcolonyalgithmtheadaptivewebsitestechnologypresentsanapproachtoestablishinganadaptivewebsitenamelyAAWAalgithm.(3)Presentsonekindofnovelclus