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Mathematical Problems in Engineering
Volume 2013, Article ID 524017, 6 pages
http://dx.doi.org/10.1155/2013/524017
Research Article

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

1School of Information Science and Engineering, Hunan University, Changsha 410082, China
2School of Software, Hunan Vocational College of Science and Technology, Changsha 410118, China
3College of Electrical and Information Engineering, Hunan University, Changsha 410082, China

Received 10 October 2013; Revised 13 November 2013; Accepted 17 November 2013

Academic Editor: Gelan Yang

Copyright © 2013 Hao Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [10 citations]

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  • Chang-Shing Lee, Mei-Hui Wang, and Cheng-Hao Huang, “Performance Verification Mechanism for Adaptive Assessment e-Platform and e-Navigation Application*,” International Journal of e-Navigation and Maritime Economy, vol. 2, pp. 47–62, 2015. View at Publisher · View at Google Scholar
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  • Jing Bian, Xin-guang Peng, Ying Wang, and Hai Zhang, “An Efficient Cost-Sensitive Feature Selection Using Chaos Genetic Algorithm for Class Imbalance Problem,” Mathematical Problems in Engineering, vol. 2016, pp. 1–9, 2016. View at Publisher · View at Google Scholar
  • Majdi Mafarja, Ibrahim Aljarah, Ali Asghar Heidari, Abdelaziz I. Hammouri, Hossam Faris, Ala’M. Al-Zoubi, and Seyedali Mirjalili, “Evolutionary Population Dynamics and Grasshopper Optimization Approaches for Feature Selection Problems,” Knowledge-Based Systems, 2017. View at Publisher · View at Google Scholar
  • Seyedali Mirjalili, and Majdi Mafarja, “Whale optimization approaches for wrapper feature selection,” Applied Soft Computing Journal, vol. 62, pp. 441–453, 2018. View at Publisher · View at Google Scholar