Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering

<Previous Article In Volume
Next Article In Volume>

A Feature Selection Method Based on Genetic Algorithms

Authors
Mingyang Jiang, Xiaojing Fan, Xinhong Zhang, Jie Lian, Yuxin Zhou, Qinghu Wang, ZhiFeng Zhang, Zhili Pei
Corresponding Author
Mingyang Jiang
Available Online November 2014.
DOI
10.2991/meic-14.2014.202How to use a DOI?
Keywords
feature extraction technology; classification; genetic algorithms; word frequency; feature set
Abstract

Feature extraction technology is a major factor in determining good classification results, the traditional feature extraction method has many deficiencies, such as when a high degree of imbalance in the distribution of the categories and characteristics, it can not effectively deal with low-frequency words; single feature for improper handling, leading to local optima generating solution. For traditional feature extraction methods can not fully and effectively examine the shortcomings of the candidate feature words, proposed a text feature extraction method based on genetic algorithm. In this method, a variety of heuristics word frequency, correlation, part of speech, and location to be elected to the comprehensive test features, and to optimize the weight parameter for each heuristic using genetic algorithms. By comparing the different test sets, the experimental results show that, compared with traditional methods, this method can effectively avoid the traditional feature extraction method produces bias, obtain a representative set of features, making this method has some practical value.

Copyright
© 2014, 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)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
Series
Advances in Engineering Research
Publication Date
November 2014
ISBN
10.2991/meic-14.2014.202
ISSN
2352-5401
DOI
10.2991/meic-14.2014.202How to use a DOI?
Copyright
© 2014, 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

risenwbib
TY  - CONF
AU  - Mingyang Jiang
AU  - Xiaojing Fan
AU  - Xinhong Zhang
AU  - Jie Lian
AU  - Yuxin Zhou
AU  - Qinghu Wang
AU  - ZhiFeng Zhang
AU  - Zhili Pei
PY  - 2014/11
DA  - 2014/11
TI  - A Feature Selection Method Based on Genetic Algorithms
BT  - Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 904
EP  - 907
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-14.2014.202
DO  - 10.2991/meic-14.2014.202
ID  - Jiang2014/11
ER  -