Bayesian Network Structure Ensemble Learning 1st Edition by Feng Liu, Fengzhan Tian, Qiliang Zhu 9783540738701

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ISBN 13: 9783540738701

Author: Feng Liu, Fengzhan Tian; Qiliang Zhu

Bayesian networks (BNs) have been widely used for learning model structures of a domain in the area of data mining and knowledge discovery. This paper incorporates ensemble learning into BN structure learning algorithms and presents a novel ensemble BN structure learning approach. Based on the Markov condition and the faithfulness condition of BN structure learning, our ensemble approach proposes a novel sample decomposition technique and a components integration technique. The experimental results reveal that our ensemble BN structure learning approach can achieve an improved result compared with individual BN structure learning approach in terms of accuracy.

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