A Review Study of Various Clustering Techniques in Web Usage Mining

Abstract: The World Wide Web continuously growing repository of web pages and links at an exponential rate which makes explo iting all useful in formation a standing challenge. It has recently a wide range of applications in E- commerce web site and E-services such as building interactive market ing strategies, Web recommendation and Web personalization. The paper concerns Web server log file analysis to discover knowledge and by ap plying Clustering and optimization technique to get user interest which is helpful or useful for giving suggestion about specific user‟s interest.

Keywords: Web Mining, Pre-processing, FCM Clustering, A RT1 –Neural Network Based Clustering, Part ical Swarm Optimization.