Web usage mining

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  • discovery and applications of usage patterns from Web data

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<jats:p> Web usage mining is the application of data mining techniques to discover usage patterns from Web data, in order to understand and better serve the needs of Web-based applications. Web usage mining consists of three phases, namely <jats:italic>preprocessing, pattern discovery</jats:italic> , and <jats:italic>pattern analysis</jats:italic> . This paper describes each of these phases in detail. Given its application potential, Web usage mining has seen a rapid increase in interest, from both the research and practice communities. This paper provides a detailed taxonomy of the work in this area, including research efforts as well as commercial offerings. An up-to-date survey of the existing work is also provided. Finally, a brief overview of the WebSIFT system as an example of a prototypical Web usage mining system is given. </jats:p>

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