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ZHOU Bin, WU Quan Yuan, and GAO Hong Kui (College of Computer Science, National University of Defense Technology, Changsha, 410073)  
It is important for the modern enterprises to have the ability of discovering useful user access pattern and corresponding potential customers from large volume of user access logs, so that they can benefit from their electronic commerce strategies. This paper presents an algorithm for mining user access patterns and corresponding potential customers, which are based on E OEM model to integrate application logic, server topology, and user browse path. Experiments show the effectiveness of both the model and the algorithm.
【Fund】: 国家“八六三”高科技基金
【CateGory Index】: TP311.13
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