Dependency networks for inference, collaborative filtering, and data visualization
The Journal of Machine Learning Research
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
On inclusion-driven learning of bayesian networks
The Journal of Machine Learning Research
Organizing Multiple Data Sources for Developing Intelligent e-Business Portals
Data Mining and Knowledge Discovery
Merging algorithm to reduce dimensionality in application to web-mining
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Mining Web navigation patterns with a path traversal graph
Expert Systems with Applications: An International Journal
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We describe how statistical association models and, specifically, graphical models, can be usefully employed to model web mining data. We describe some methodological problems related to the implementation of discrete graphical models for web mining data. In particular, we discuss model selection procedures.