【摘要】 在对Web应用挖掘的基本步骤作系统性研究的基础上,设计了一个基于Web日志文件的关联规则挖掘模块。该系统应能够对用户访问Web时服务器方留下的访问记录进行挖掘,从中得出用户的访问模式和访问兴趣。为了识别用户浏览模式,实现了利用关联规则挖掘算法Apriori对Web应用挖掘过程中预处理阶段所产生的用户会话文件进行挖掘的模块,该模块针对用户选定的若干页面产生满足最小支持度和最小置信度的页面之间的强关联规则,并以文本的形式显示挖掘的结果。更多还原

【Abstract】 Underlying the systematic studies on the basic steps of Web usage mining to implement a visual Web usage mining system,which is mainly used to mine the Web log access file that acquired from the Web server,get the user visiting patterns and visiting interests.In order to identify the navigational patterns of Web site visitors,Apriori algorithm is used on the mining of the user session file that has been generated after the data pre-processing process on the Web log file.The association mining model can be used to generate the frequent itemsets that satisfy the minimum support threshold and strong association rules between selected pages that satisfy the both minimum confidence and minimum support thresholds,and display the association rules mining results by text.更多还原