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Web usage mining discovers patterns of user behaviors from web log files. In this study web usage mining is employed to identify business-critical and non-business critical web traffics in University of Gondar. Apriori and FP tree algorithms are applied to extract the web browsing behavior in terms of frequently accessed sites along with their web traffics. Our research findings can be used as an input for bandwidth management and system performance improvement.