文章基本信息

标题：Association rules for improving website effectiveness: case analysis
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作者：Maja Dimitrijevic ; Tanja Krunic
期刊名称：The Online Journal of Applied Knowledge Management
印刷版ISSN：2325-4688
出版年度：2013
卷号：1
期号：2
页码：56-63
出版社：The International Institute for Applied Knowledge Management
摘要：Association rule mining of the web usage log files can be used to extract patterns of a website visitors' behavior. This knowledge can then be utilized to enhance web marketing strategies or improve the web browsing experience. In this paper we apply association rule mining on the web usage log file of an educational institution. We use confidence and lift as the association rule interestingness measures and compare their values in two different time periods. We show how this comparison brings additional information about association rules discovered and helps a webmaster make more informed decisions about the website enhancements
关键词：we b usage mining; association rules; interestingness measures; e-business