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Web Usage mining is a very important tool to extract the hidden businessintelligence data from large databases. The extracted information provides theorganizations with the ability to produce results more effectively to improvetheir businesses and increasing of sales. Co-clustering is a powerfulbipartition technique which identifies group of users associated to group ofweb pages. These associations are quantified to reveal the users' interest inthe different web pages' clusters. In this paper, Fuzzy Co-Clustering algorithmis proposed for clickstream data to identify the subset of users of similarnavigational behavior /interest over a subset of web pages of a website.Targeting the users group for various promotional activities is an importantaspect of marketing practices. Experiments are conducted on real dataset toprove the efficiency of proposed algorithm. The results and findings of thisalgorithm could be used to enhance the marketing strategy for directingmarketing, advertisements for web based businesses and so on.

A Fuzzy Co-Clustering approach for Clickstream Data Pattern