Web Mining pattern discovery
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The aim of this paper is to show how web click stream data can be used to understand the most likely path of navigations in a Web site. The information deriving from such analysis can be usefully employed to efficiently design the Web site. We consider and compare both statistical methodologies (odds ratios and graphical models) and computational methodologies (association and sequence rules). These methodologies are applied to the analysis of a real set of data regarding an e-commerce web site of a company that sells hardware and software products.
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