Bayesian Network Structure Learning Based On Rough Set and Mutual Information

被引：0
|
作者：
Feng, Zuhong [1 ]
Gao, Xiujuan [1 ]
Wang, Long [1 ]
机构：
[1] Beifang Univ Nationalities, Yinchuan 750021, Peoples R China
来源：
PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND COMPUTER APPLICATIONS (ICSA 2013) | 2013年 / 92卷
关键词：
Rough set; mutual information; Bayesian network; structure learning;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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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页码：185 / 191
页数：7
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