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An Evolutionary Web Clustering for Web Page Predicting

Rui Wu,
Ling Zhang,

Abstract


In this paper a web user's surfing behavior is represented as a web access pattern. Then we adopt a fuzzy rough c-means method to cluster these web access patterns into groups. Each group includes patterns disclosing same or similar surfing behaviors. And an optimized algorithm is employed to gain the better clustering results. Finally, we have performed an evaluation of the proposed approach with an example and an experiment. We have found that the proposed algorithm is feasible and effective.

Keywords


Web clustering; Fuzzy variable; Rough set; Web access pattern; PSO

Citation Format:
Rui Wu, Ling Zhang, "An Evolutionary Web Clustering for Web Page Predicting," Journal of Internet Technology, vol. 18, no. 1 , pp. 147-155, Jan. 2017.

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Published by Executive Committee, Taiwan Academic Network, Ministry of Education, Taipei, Taiwan, R.O.C
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