Bayesian Network Structure Learning Based On Rough Set and Mutual Information

Zuhong Feng, Xiujuan Gao, Long Wang

Abstract


In Bayesian network structure learning for incomplete data set, a common problem is too many attributes causing low efficiency and high computation complexity. In this paper, an algorithm of attribute reduction based on rough set is introduced. The algorithm can effectively reduce the dimension of attributes and quickly determine the network structure using mutual information for Bayesian network structure learning.

 

DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3768


Keywords


Rough set; mutual information; Bayesian network; structure learning

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Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

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