Web stream algorithm for mining web access patterns

被引：0
|
作者：
Department of Computer Science and Technology, Fudan University, Shanghai 200433, China [1 ]
机构：
来源：
Moshi Shibie yu Rengong Zhineng | 2007年 / 6卷 / 757-762期
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Discovering interesting web access patterns from web logs is a web usage-mining problem with many practical applications. Some conventional algorithms, such as GSP, HPrefix and WAP-mine have low efficiency on low support thresholds. An algorithm based on the top-down manner is proposed for mining web access pattern. Instead of stubbornly building intermediate data for each step of mining process, it selectively builds intermediate data according to the features of current area. The experimental results on various datasets show that the proposed algorithm has better performance than WAP-mine.
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收藏
页码：757 / 762
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