Method of clustering web pages based on granular computing

被引：0
|
作者：
Hu, Jun [1 ]
Guan, Chun [2 ]
Liu, Bocheng [1 ]
机构：
[1] Hu, Jun
[2] Guan, Chun
[3] Liu, Bocheng
来源：
Hu, J. | 2013年 / Asian Network for Scientific Information卷 / 13期
关键词：
Clustering - Clustering web pages - Coarse grains - Method - Threshold-value - Web intelligence - Web log mining - Web server logs;
D O I：
10.3923/jas.2013.2107.2110
中图分类号：
学科分类号：
摘要：
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 theoiy, 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. © 2013 Asian Network for Scientific Information.
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页码：2107 / 2110
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