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Abstract
Analyzing the web log files through web usage mining is very important to discover the similar behavior users of particular website. Our paper discusses how to find useful knowledge from web log file using some data mining technique like Association rule mining and clustering. First we preprocess the web log file then apply association rule mining and clustering algorithm on web log file to discover usage pattern and same behavioral users.
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