During the recent years, with the rapid development of Web data mining, how to find useful information in search engine log query has become an important research direction.
近年来，随着网络数据挖掘技术的迅猛发展，如何从搜索引擎查询日志中找到有用的信息成为一个重要的研究方向。
Web log mining was introduced, and the application of it to electronic commerce analyzed, to direct organizing and reallocateiori resources of electronic commerce sites.
首先介绍日志挖掘，然后分析了日志挖掘在电子商务领域的应用，从而指导电子商务网站资源的组织和分配。
This System is the first personality information system using TRIP system's query log for web mining at home.
本系统是国内第一个针对TRIP系统的文献日志进行挖掘的个性化信息服务系统。
This paper studies the mechanism of mining web log, proposes a method of mining user browsing patterns, at last it presents a effective algorithms of mining traversal path patterns.
提出了通过访问路径挖掘来分析用户测览模式的方法，并实现了一种有效的访问路径模式挖掘算法。
Web log data mining algorithm phase.
挖掘算法阶段。
Web log data mining algorithm phase.
挖掘算法阶段。
应用推荐