Jun Hu
School of Software, Nanchang University, Nanchang, Jiangxi, 330047, China
Chun Guan
School of Software, Nanchang University, Nanchang, Jiangxi, 330047, China
Bocheng Liu
School of Software, Nanchang University, Nanchang, Jiangxi, 330047, China
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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How to cite this article
Jun Hu, Chun Guan and Bocheng Liu, 2013. Method of Clustering Web Pages Based on Granular Computing. Journal of Applied Sciences, 13: 2107-2110.
DOI: 10.3923/jas.2013.2107.2110
URL: https://scialert.net/abstract/?doi=jas.2013.2107.2110
DOI: 10.3923/jas.2013.2107.2110
URL: https://scialert.net/abstract/?doi=jas.2013.2107.2110
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