A Heuristic Feature Selection Approach for Text Categorization by Using Chaos Optimization and Genetic Algorithm-Reference-Cited by-同舟云学术

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A Heuristic Feature Selection Approach for Text Categorization by Using Chaos Optimization and Genetic Algorithm

Published:2013 Issue: Volume:2013 Page:1-6
ISSN:1024-123X
Container-title:Mathematical Problems in Engineering
language:en
Short-container-title:Mathematical Problems in Engineering

Author:

Chen Hao¹,Jiang Wen²,Li Canbing³,Li Rui¹

Affiliation:

1. School of Information Science and Engineering, Hunan University, Changsha 410082, China

2. School of Software, Hunan Vocational College of Science and Technology, Changsha 410118, China

3. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Link

http://downloads.hindawi.com/journals/mpe/2013/524017.pdf

Reference16 articles.

1. Feature extraction and selection from acoustic emission signals with an application in grinding wheel condition monitoring

2. A decision rule-based method for feature selection in predictive data mining

3. A novel ACO–GA hybrid algorithm for feature selection in protein function prediction

4. A multiple feature/resolution scheme to Arabic (Indian) numerals recognition using hidden Markov models

5. Particle swarm optimization for parameter determination and feature selection of support vector machines

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