Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics

WJMI: A New Feature Selection Algorithm Based on Weighted Joint Mutual Information

Authors
Xiuli Qi, Chengxiang Yin, Kai Cheng, Xianglin Liao, Xingdang Kang
Corresponding Author
Xiuli Qi
Available Online October 2015.
DOI
https://doi.org/10.2991/icmii-15.2015.108How to use a DOI?
Keywords
feature selection, feature interaction, pruning rule, WJMI
Abstract

Mutual information based feature selection algorithms are very popular currently. Though they perform well in many cases, they suffer from two drawbacks: (1) the neglect of feature interaction; (2) the overestimation of some features. To overcome these shortcomings, a new feature evaluation criterion considering feature interaction is proposed and a pruning rule is designed. Based on the criterion and pruning rule, a new feature selection algorithm WJMI is proposed. Experiments carried out on UCI real world dataset against other four algorithms demonstrate the effectiveness of WJMI.

Copyright
© 2015, 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/).

Download article (PDF)

Volume Title
Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
Series
Advances in Computer Science Research
Publication Date
October 2015
ISBN
978-94-6252-131-5
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmii-15.2015.108How to use a DOI?
Copyright
© 2015, 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/).

Cite this article

TY  - CONF
AU  - Xiuli Qi
AU  - Chengxiang Yin
AU  - Kai Cheng
AU  - Xianglin Liao
AU  - Xingdang Kang
PY  - 2015/10
DA  - 2015/10
TI  - WJMI: A New Feature Selection Algorithm Based on Weighted Joint Mutual Information
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 632
EP  - 638
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.108
DO  - https://doi.org/10.2991/icmii-15.2015.108
ID  - Qi2015/10
ER  -