What is it about?

Web usage mining discovers patterns of user behaviors from web log files. web usage mining is employed to identify business-critical and non-business critical web traffics. Apriori and FP tree algorithms are applied to extract the web browsing behavior in terms of frequently accessed sites along with their web traffics.

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Why is it important?

Web usage mining discovers patterns of user behaviors from web log files. It is employed to identify business-critical and non-business critical web traffics. web browsing behavior in terms of frequently accessed sites along with their web traffics are identified. The research findings can be used as an input for bandwidth management and system performance improvement.

Perspectives

This is a conference paper which discovered patterns of user behaviors from web log files. The findings can be used as an input for bandwidth management and system performance improvement

Alehegn Kinde

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This page is a summary of: Web Usage Characterization for System Performance Improvement, January 2018, Springer Science + Business Media,
DOI: 10.1007/978-3-319-95153-9_23.
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