A new feature selection algorithm based on binary ant colony optimization

IKT 2013 - 2013 5th Conference on Information and Knowledge Technology

Volumn , Issue , 2013, Pages 50-54

  Kashef, Shima ^a   Nezamabadi Pour, Hossein ^a  

^a SHAHID BAHONAR UNIVERSITY OF KERMAN   (Iran)

Author keywords

Ant colony optimization; Classification; Dimensionality reduction; Feature selection

Indexed keywords

ANT COLONY ALGORITHMS; ANT COLONY OPTIMIZATION (ACO); BINARY ANT COLONY OPTIMIZATIONS; CLASSIFICATION ACCURACY; DIMENSIONALITY REDUCTION; EXPERIMENTAL COMPARISON; FEATURE SELECTION ALGORITHM; FEATURE SELECTION METHODS;

ANT COLONY OPTIMIZATION; ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); DATA MINING; FEATURE EXTRACTION; GRAPH THEORY;

ALGORITHMS;

EID: 84888580579     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IKT.2013.6620037     Document Type: Conference Paper

References (16)

1. A.J. Ferreira, M.A.T. Figueiredo, "Efficient feature selection filters for high-dimensional data,", Pattern Recognition Letters, no. 33, pp. 1794-1804, 2012.
2. S. Ding, "Feature selection based F-score and ACO algorithm in support vector machine,", Second International Symposium on Knowledge Acquisition and Modeling, 2009.
3. L.T. Vinh, S. Lee, Y.T. Park, B.J. Auriol, "A novel feature selection method based on normalized mutual information,", Springer, Appl Intell, No. 37, pp. 100-120, 2011.
4. H.H. Hsu, C.W. Hsieh, M.D. Lu, "Hybrid feature selection by combining filters and wrappers,", Expert Systems with Applications, no. 38, pp. 8144-8150, 2011.
5. M. Kabir, M. Islam, K. Murase, "A new wrapper feature selection approach using neural network,", Neurocomputing, No. 73, pp. 3273-3283, 2011.
6. P. Bermejo, J.A. Gámez, J.M. Puerta, "A GRASP algorithm for fast hybrid (filter-wrapper) feature subset selection in high-dimensional datasets,", Pattern Recognition Letters, No. 32, pp. 701-711, 2011.
7. M. Kabir, Shahjahan, K Murase, "A new local search based hybrid genetic algorithm for feature selection," Neurocomputing, Neurocomputing, Vol. 74, pp. 2914-2928, March 2011.
8. L.Y. Chuang, S.W. Tsai, C.H. Yang, "Improved binary particle swarm optimization using catfish effect for feature selection,", Expert Systems with Applications, No. 38, pp. 12699-12707, 2011.
9. S. Sarafrazi, and H. Nezamabadipour, "Facing the classification of binary problems with a GSA-SVM hybrid system,", Mathematical and Computer Modelling, Vol. 57, no. 1-2, pp. 270-278, 2013.
10. E. Rashedi, H Nezamabadipour and S. Saryazdi, "A simultaneous feature adaptation and feature selection method for content-based image retrieval systems,", Knowledge based System, Vol. 39, pp. 85-94, 2013.
11. E. Rashedi, and H. Nezamabadipour, "Feature subset selection using improved binary gravitational search algorithm,", Journal of Intelligent and Fuzzy Systems, 2013. doi:10.3233/IFS-130807.
12. H. Huang, H.B. Xie, JY. Guo, H.J. Chen, "Ant colony optimization-based feature selection method for surface electromygraphy signals classifiction,", Comers in Biology and Medicine, No. 42, pp. 30-38, 2012.
13. C. Kalzhang, H. Hu, "Feature selection using the hybrid of ant colony optimization and mutual information for the forecaster,", Fourth International Confrence On Machine Learning and Cybernetics, Guangzhou, pp. 18-21, 2005.
14. A. Al-Ani, "Feature subset selection using ant colony optimization,", International Journal Of Computational Intelligence, Vol. 2, no. 1, pp. 1304-2386, 2005.
15. H. Touhidi, H Nezamabadipour, and S. Saryazdi, "Feature selection using binary ant algorithm,", Frist Joint Congress on Fuzzy and Intelligent Systems, Mashhad, Iran, Aug. 2007 (In Farsi).
16. A. Colorni, M. Dorigo, V. Maniezzo, "Distributed optimization by ant colonies,", European Conference on Artificial Life, Elsevier Publishing, pp. 134-142, 1991.