Proceedings of 2013 International Conference on Information Science and Computer Applications

Bayesian Network Structure Learning Based On Rough Set and Mutual Information

Authors
Zuhong Feng, Xiujuan Gao, Long Wang
Corresponding Author
Zuhong Feng
Available Online October 2013.
DOI
https://doi.org/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.
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Proceedings
2013 International Conference on Information Science and Computer Applications (ISCA 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2013
ISBN
978-90786-77-85-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/isca-13.2013.32How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2013 International Conference on Information Science and Computer Applications (ISCA 2013)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/isca-13.2013.32
DO  - https://doi.org/10.2991/isca-13.2013.32
ID  - Feng2013/10
ER  -