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Web usage mining is the type of Web mining activity that involves the automatic discovery of user access patterns from one or more Web servers. In this paper we analyze the pattern using different algorithms like Apriori, Hash tree and Fuzzy and then we used enhanced Apriori algorithm to give the solution for Crisp Boundry problem with higher optimized efficiency while comparing to other algorithms.

international journal of computer science and information technology/international journal of computer science and information technology  (chennai. print)

Efficient Web Log Mining Using Enhanced Apriori Algorithm with Hash Tree and Fuzzy