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Journal of Applied Sciences
Year: 2013  |  Volume: 13  |  Issue: 11  |  Page No.: 2107 - 2110

Method of Clustering Web Pages Based on Granular Computing

Jun Hu, Chun Guan and Bocheng Liu    

Abstract: With the fast development of information on the web, relevant web pages can be discovered by analyzing web server log files and user access database. Based on the granular computing theory, a method of clustering web pages is proposed in this study. Firstly, according to the users accessing the website URL, the method can coarse grain the universal set gradually by granular operation and processing similar grains technology. Then, it can adjust the threshold value to make the division of the universal set be a relatively reasonable status. Finally it can implement the optimal adjustment of websites.

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