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.
引用
收藏
页码：185 / 191
页数：7
相关论文
共 50 条
  • [11] An efficient Bayesian network structure learning algorithm based on structural information
    Fang, Wei
    Zhang, Weijian
    Ma, Li
    Wu, Yunlin
    Yan, Kefei
    Lu, Hengyang
    Sun, Jun
    Wu, Xiaojun
    Yuan, Bo
    SWARM AND EVOLUTIONARY COMPUTATION, 2023, 76
  • [12] Improved algorithm based on mutual information for learning Bayesian network structures in the space of equivalence classes
    Li, Bing Han
    Liu, San Yang
    Li, Zhan Guo
    MULTIMEDIA TOOLS AND APPLICATIONS, 2012, 60 (01) : 129 - 137
  • [13] A Credit Scoring Model based on Bayesian Network and Mutual Information
    Zhuang, Yuanhang
    Xu, Zhuoming
    Tang, Yan
    2015 12TH WEB INFORMATION SYSTEM AND APPLICATION CONFERENCE (WISA), 2015, : 281 - 286
  • [14] Improved algorithm based on mutual information for learning Bayesian network structures in the space of equivalence classes
    Bing Han Li
    San Yang Liu
    Zhan Guo Li
    Multimedia Tools and Applications, 2012, 60 : 129 - 137
  • [15] Selective augmented Bayesian network classifiers based on rough set theory
    Wang, ZH
    Webb, GI
    Zheng, F
    ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 2004, 3056 : 319 - 328
  • [16] Feature Decreasing Methods Using Fuzzy Rough Set based on Mutual Information
    Lotfabadi, Maryam Shahabi
    Shiratuddin, Mohd Fairuz
    Wong, Kok Wai
    PROCEEDINGS OF THE 2013 IEEE 8TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2013, : 1141 - 1146
  • [17] INFORMATION FUSION IN WIRELESS SENSOR NETWORK BASED ON ROUGH SET
    Li, Tongying
    Fei, Minrui
    2009 IEEE INTERNATIONAL CONFERENCE ON NETWORK INFRASTRUCTURE AND DIGITAL CONTENT, PROCEEDINGS, 2009, : 129 - 134
  • [18] Learning Bayesian Networks Structure Based Part Mutual Information for Reconstructing Gene Regulatory Networks
    Meng, Qingfei
    Chen, Yuehui
    Wang, Dong
    Meng, Qingfang
    INTELLIGENT COMPUTING THEORIES AND APPLICATION, ICIC 2017, PT II, 2017, 10362 : 647 - 654
  • [19] The importance of temporal information in Bayesian network structure learning
    Constantinou, Anthony C.
    EXPERT SYSTEMS WITH APPLICATIONS, 2021, 164 (164)
  • [20] A Novel Bayesian Network Structure Learning Algorithm based on Maximal Information Coefficient
    Zhang, Yinghua
    Hu, Qiping
    Zhang, Wensheng
    Liu, Jin
    2012 IEEE FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI), 2012, : 862 - 867
12345