Abstrait

Web Log Clustering using FCM and Swarm Intelligence Based Algorithms

Soniya P. Chaudhari , Prof. Hitesh Gupta , Prof. S. J. Patil

Clustering is the approach in which it groups data items having similar properties or behavior. This paper describes most representative techniques such as fuzzy c-means, FCM ant colony optimization as well as FCM particle swarm optimization for accurate results to overcome the limitations of traditional clustering techniques. The experimental result shows how these techniques are accurate and effective to search better cluster centers in Web usage mining.