Dependency Networks And Bayesian Networks For Web Mining
Claudia Tarantola, E Blanc · Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) · 2002
Following the approach described by Heckerman et al. ([5]), we present an application of Dependency Networks and Bayesian Networks to the analysis of a clickstream data set. Our target is to discover which paths are more often followed by the users. The relation between one web page and another one is represent by a direct graph. Whereas Bayesian Networks use direct acyclic graphs, Dependency Networks may contain cyclic structures. The analysis will be performed with the WinMine Toolkit software.