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Proceedings Paper

Web log mining based on improved FCM clustering algorithm
Author(s): Zhijun Wang; Runjing Zhou
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Paper Abstract

In view of more iterative times, longer convergence time and lower accuracy of Fuzzy C-Means (FCM) clustering algorithm, an improved FCM (IFCM) clustering algorithm is put forward. After data preprocessing of web log, fuzzy clustering to the web log data is adopted with the help of IFCM clustering algorithm. It can provide foundation and help for the subsequent web page optimization and personalization services.

Paper Details

Date Published: 19 August 2010
PDF: 8 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 782008 (19 August 2010); doi: 10.1117/12.867261
Show Author Affiliations
Zhijun Wang, Inner Mongolia Univ. (China)
Runjing Zhou, Inner Mongolia Univ. (China)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

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