Bayesian Network Structure Learning Based On Rough Set and Mutual Information

DOI

10.2991/isca-13.2013.32How to use a DOI?

Keywords

Rough set; mutual information; Bayesian network; structure learning

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zuhong Feng
AU  - Xiujuan Gao
AU  - Long Wang
PY  - 2013/10
DA  - 2013/10
TI  - Bayesian Network Structure Learning Based On Rough Set and Mutual Information
BT  - Proceedings of 2013 International Conference on Information Science and Computer Applications
PB  - Atlantis Press
SP  - 185
EP  - 191
SN  - 1951-6851
UR  - https://doi.org/10.2991/isca-13.2013.32
DO  - 10.2991/isca-13.2013.32
ID  - Feng2013/10
ER  -