摘要
Web日志中包含了大量的用户浏览信息,如何有效地从中挖掘出用户浏览模式就尤为重要了。本文在分析现有用户浏览模式挖掘算法存在问题的基础上,根据Web日志的特点,对关联规则挖掘算法进行改进,提出了基于滑动窗口的浏览模式挖掘算法TBPM。并在此算法基础上设计了增量更新算法,对实际数据的实验结果验证了本算法的有效性。
Web logs contain a lot of users＇ browsing information. How to mine users＇ browsing patterns effectively is important. On the basis of analyzing the problems in present algorithms for users＇ browsing pattern mining and combining with the characters of Web Logs. Improve association rule mining algorithms, the paper proposes a TBPM algorithm of browsing pattern mining based on sliding window. The incremental update algorithm is designed based on the algorithm. At last Experimental results on practical data demonstrate the effectiveness of the algorithm.
出处
《科技通报》
北大核心
2012年第2期149-151,共3页
Bulletin of Science and Technology
基金
黑龙江省教育厅科技项目(11533033)
