摘要
介绍个性化站点的概念,并对Web日志挖掘系统体系结构进行分析。其后将关联规则挖掘技术应用到日志事务会话中,在对日志数据的特性分析的基础上提出类Apriori挖掘算法。对类Apriori挖掘算法得到的频繁项集如何有效提取关联规则提出了最有效的方法。在实际应用中探讨了如何从多个匹配的关联规则中选择合适的匹配规则。
The paper introduces the concept of personalize web site first and analysis the system construction of web log mining. Secondly we try to introduce the notion of association rule into the web mining system and provide similar Apriori. In this paper, it brings forward the best method about abstracting rules from the frequency item through the experiment. In the practicality, the paper provides two matching rule idea of choosing appropriate rules.
出处
《微计算机应用》
2006年第1期35-38,共4页
Microcomputer Applications
