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- W2787573763 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." @default.
- W2787573763 created "2018-02-23" @default.
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- W2787573763 date "2011-05-24" @default.
- W2787573763 modified "2023-09-23" @default.
- W2787573763 title "Web Usage Mining through Associative Models" @default.
- W2787573763 doi "https://doi.org/10.4018/978-1-59140-557-3.ch232" @default.
- W2787573763 hasPublicationYear "2011" @default.
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