Web Usage Mining through Associative Models

Web Usage Mining through Associative Models

Paolo Giudici (University of Pavia, Italy) and Paola Cerchiello (University of Pavia, Italy)
Copyright: © 2005 |Pages: 4
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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