TY - GEN
T1 - Research on Feature Selection Method Based on Bayesian Network and Importance Measures
AU - Zhang, Jingwei
AU - Chen, Chen
AU - Wu, Yuhan
AU - Si, Shubin
AU - Geng, Zhimin
AU - Cai, Zhiqiang
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - With the wide application of machine learning algorithms in various fields, feature selection becomes more and more important as a data preprocessing method which can not only solve the problem of dimension disaster, but also improve the generalization ability of algorithms. Based on this, the main work of this paper is as follows. Firstly, the importance measures and Bayesian network were combined to solve the problem that Bayesian network could not rank the importance of features. At the same time, a recursive feature elimination algorithm based on importance degree theory is proposed with importance degree as the screening index. Finally, the prognostic model of gallbladder cancer was established, which shows that the proposed algorithm has good performance.
AB - With the wide application of machine learning algorithms in various fields, feature selection becomes more and more important as a data preprocessing method which can not only solve the problem of dimension disaster, but also improve the generalization ability of algorithms. Based on this, the main work of this paper is as follows. Firstly, the importance measures and Bayesian network were combined to solve the problem that Bayesian network could not rank the importance of features. At the same time, a recursive feature elimination algorithm based on importance degree theory is proposed with importance degree as the screening index. Finally, the prognostic model of gallbladder cancer was established, which shows that the proposed algorithm has good performance.
KW - Bayesian networks
KW - feature selection
KW - Importance measures
UR - http://www.scopus.com/inward/record.url?scp=85143065068&partnerID=8YFLogxK
U2 - 10.1109/ICRMS55680.2022.9944576
DO - 10.1109/ICRMS55680.2022.9944576
M3 - 会议稿件
AN - SCOPUS:85143065068
T3 - 13th International Conference on Reliability, Maintainability, and Safety: Reliability and Safety of Intelligent Systems, ICRMS 2022
SP - 18
EP - 22
BT - 13th International Conference on Reliability, Maintainability, and Safety
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Reliability, Maintainability, and Safety, ICRMS 2022
Y2 - 21 August 2022 through 24 August 2022
ER -
