关联规则挖掘技术在Web预取中的应用

Applying Association Rule Mining to Web Pre-Fetching

随着WWW上信息的爆炸性的增长,在如此大量的数据中发现有用的信息变得困难。因此,采用数据挖掘技术从WWW上提取出有价值的知识,提高WWW的服务效率,是具有十分重要的现实意义和广泛的应用前景。本文提出了一种利用关联规则解决网络拥塞问题的方法,即通过对服务器上的日志进行挖掘,得到用户访问序列的关联规则,根据这些规则和用户目前访问网页,把用户后继最有可能访问的网页预先发送给用户,来提高用户浏览速度。

With the high rate of the volume of data available on the WWW, finding useful information in such a large amount of data becomes difficult. so obtaining valuable information form WWW by data mining technology, improving serving efficiency of WWW has tremendous application values. In this paper, a method to resolve the traffic of WWW with association rule is provided. Mining association rules from the access logs, the association rules about the sequence of users' transaction can be obtained. With the rules and the current access of the client, the server can pre-fetch documents to the client and the speed of network becomes 'rapid'.