Novel feature selection method based on random walk and artificial bee colony-Reference-Cited by-同舟云学术

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Novel feature selection method based on random walk and artificial bee colony

Published:2017-01-13 Issue:1 Volume:32 Page:115-126
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Feng Lizhou¹,Wang Youwei²,Zuo Wanli³

Affiliation:

1. School of Polytechnic, Tianjin University of Finance and Economics, Tianjin, China

2. School of Information, Central University of Finance and Economics, Beijing, China

3. College of Computer Science and Technology, Jilin University, Changchun, Jilin, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference41 articles.

1. Best terms: An efficient feature-selection algorithm for text categorization;Fragoudis;Knowledge and Information Systems,2005

2. A similarity rough set model for document representation and document clustering;Thanh;JACIII,2011

3. Knowledge-based vector space model for text clustering;Jing;Knowledge and Information Systems,2010

4. Feature subset selection in large dimensionality domains;Gheyas;Pattern Recognition,2010

5. A two-stage feature selection method for text categorization by using information gain: Principal component analysis and genetic algorithm;Uğuz;Knowledge-Based Systems,2011

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An efficient self-adaptive artificial bee colony algorithm for the distributed resource-constrained hybrid flowshop problem;Computers & Industrial Engineering;2022-07

2. An improved feature selection method based on angle-guided multi-objective PSO and feature-label mutual information;Applied Intelligence;2022-06-01

3. Cost-sensitive feature selection using two-archive multi-objective artificial bee colony algorithm;Expert Systems with Applications;2019-12

4. Parallel noise eliminate: A parallel noise elimination algorithm for massive text categorization;Journal of Algorithms & Computational Technology;2018-06-09

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