Dependency network and Bayesian Networks for Web Mining

Following the approach described by Heckerman et al.
(Following the approach described by Heckerman et al.
(Heckerman et al. 2000), we present an application of Dependency
Networks and Bayesian Networks to the analysis of a click-stream
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.), we present an application of Dependency
Networks and Bayesian Networks to the analysis of a click-stream
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.