An evolutionary approach for clustering user access patterns from web logs

Authors:
Rui Wu
Affiliations:
School of Mathematics and Computer Science, Shanxi Normal University, Shanxi, China
Venue:
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Year:
2006

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Abstract

In this paper rough c-means is applied to cluster user access patterns, in which PSO(Particle Swarm Optimization) algorithm is employed to tune the threshold and relative importance of upper and lower approximations. The Davies-Bouldin clustering validity index is used as the fitness function that is minimized while arriving at an optimal clustering. The effectiveness of the algorithm is demonstrated by an experiment.