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Web Usage Mining through Associative Models
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Author(s): Paolo Giudici (University of Pavia, Italy)and Paola Cerchiello (University of Pavia, Italy)
Copyright: 2005
Pages: 4
Source title:
Encyclopedia of Data Warehousing and Mining
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-59140-557-3.ch232
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Abstract
The aim of this contribution is to show how the information, concerning the order in which the pages of a Web site are visited, can be profitably used to predict the visit behaviour at the site. Usually every click corresponds to the visualization of a Web page. Thus, a Web clickstream defines the sequence of the Web pages requested by a user. Such a sequence identifies a user session.
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