Markov-Blanket Based Strategy for Translating a Bayesian Classifier into a Reduced Set of Classification Rules

@article{Hruschka2007MarkovBlanketBS,
title={Markov-Blanket Based Strategy for Translating a Bayesian Classifier into a Reduced Set of Classification Rules},
author={Estevam R. Hruschka and Maria do Carmo Nicoletti and Vilma Alves de Oliveira and Gl{\'a}ucia M. Bressan},
journal={7th International Conference on Hybrid Intelligent Systems (HIS 2007)},
year={2007},
pages={192-197}
}

Bayesian network (BN) is a formalism for representing and reasoning about uncertain domains. In BN the knowledge is represented by a combination of a graph-based structure and probability theory. A particular type of BN known as Bayesian Classifier (BC) aims at classifying a given instance into a discrete class. BCs have been extensively used for modeling knowledge in many different applications and have been the focus of many works related to data mining. Depending on the size of a BC the… CONTINUE READING