Probabilistic Horn abduction and Bayesian networks
Artificial Intelligence
Human Problem Solving
Data Mining: Practical Machine Learning Tools and Techniques
Data Mining: Practical Machine Learning Tools and Techniques
Converting a naive bayes models with multi-valued domains into sets of rules
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
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In this paper B2R algorithm that converts Bayesian networks into sets of rules is proposed. It is tested on several data sets with various configurations and results show that accuracy is similar to original Bayesian networks even after pruning a high number of rules. It allows to exploit advantages of both knowledge representation techniques.