Web log mining based on improved FCM clustering algorithm

Zhijun Wang; Runjing Zhou

doi:10.1117/12.867261

19 August 2010 Web log mining based on improved FCM clustering algorithm

Zhijun Wang, Runjing Zhou

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 782008 (2010) https://doi.org/10.1117/12.867261
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

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.

Citation Download Citation

Zhijun Wang and Runjing Zhou "Web log mining based on improved FCM clustering algorithm", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 782008 (19 August 2010); https://doi.org/10.1117/12.867261

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