Abstract
With the growing popularity of the World Wide Web (Web), large volumes of data such as user address or URL requested are gathered automatically by Web servers and collected in access log files. Recently, many interesting works have been published in the Web Usage Mining context. Nevertheless, the large amount of input data poses a maintenance problem. In fact, maintaining global patterns is a non-trivial task after access log file update because new data may invalidate old client behavior and creates new ones.
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© 2000 Springer-Verlag Berlin Heidelberg
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Masseglia, F., Poncelet, P., Teisseire, M. (2000). Web Usage Mining: How to Efficiently Manage New Transactions and New Clients. In: Zighed, D.A., Komorowski, J., Żytkow, J. (eds) Principles of Data Mining and Knowledge Discovery. PKDD 2000. Lecture Notes in Computer Science(), vol 1910. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45372-5_62
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DOI: https://doi.org/10.1007/3-540-45372-5_62
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