Through analysis of user access sequences, this research studies the browsing behaviors of web users and proposesa user access pattern mining algorithm based on the maximal forward reference sequence to determine frequent accesspaths. Experiments have shown that this effective algorithm could obtain a satisfactory result. This algorithm is superiorto the traditional Full Scan algorithm in terms of execution time and performance.
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