Web Usage Mining through Associative Models
2011 ◽
pp. 1231-1234
◽
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.
2018 ◽
Vol 8
(4)
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pp. 1-13