Abstract
Web access-logs record the access history of users that visit a Web site. The entries of the log are collected automatically and, for this reason, their size tends to grow very rapidly. Recent work has proposed the application of web-log mining methods[4, 7, 12, 15, 16, 17], which search for access-patterns. Some examples include methods based on clustering [20] and sequence mining [2].
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Manolopoulos, Y., Nanopoulos, A., Tousidou, E. (2003). Storage and Querying of Large Web-Logs. In: Advanced Signature Indexing for Multimedia and Web Applications. Advances in Database Systems, vol 27. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-8636-8_8
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DOI: https://doi.org/10.1007/978-1-4419-8636-8_8
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