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.

Dependency network and Bayesian Networks for Web Mining

TARANTOLA, CLAUDIA;
2002

Abstract

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11571/124639
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