Abstract：Discovering interesting web access patterns from web logs is a web usagemining problem with many practical applications. Some conventional algorithms, such as GSP, HPrefix and WAPmine have low efficiency on low support thresholds. An algorithm based on the topdown 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 WAPmine.
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2007, Vol. 20 
