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中文摘要：
频繁模式挖掘已成为web使用挖掘的研究热点，本文基于web日志提出一种新的频繁路径的挖掘算法.首先以线性回归方法求解兴趣度，其次将此兴趣度和页面名称作为最基本要素，建立的web浏览树，此浏览树可以完整地表现出web日志中连续、重复的浏览路径，最后在web浏览树上进行分析挖掘频繁浏览路径.该算法经实验证明能更全面地反映用户兴趣所在，挖掘的频繁浏览路径准确、合理.
英文摘要：
Freuent pattern mining is a focus on researching of Web Usage Mining . Based on web logs, this article proposes a new mining algorithm of the frequent paths. This algorithm first solves interest by the linear regression method ,then takes it and page name as the basic element, establishes web browsing tree which can display completely continual and iterative browsing paths in web logs ,finally carries on analysing and mining frequent browsing paths on the web browsing tree. The experiment proved that the algorithm can be more fully reflect the interest of users, the frequent paths are exact and reasonable.
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