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