Abstract
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.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Kindie, A., Mamuye, A., Tilahun, B. (2018). Web Usage Characterization for System Performance Improvement. In: Mekuria, F., Nigussie, E., Dargie, W., Edward, M., Tegegne, T. (eds) Information and Communication Technology for Development for Africa. ICT4DA 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 244. Springer, Cham. https://doi.org/10.1007/978-3-319-95153-9_23
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DOI: https://doi.org/10.1007/978-3-319-95153-9_23
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