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Volumn 24, Issue 2-3, 2012, Pages 91-116

A multi-objective particle swarm optimisation for filter-based feature selection in classification problems

Author keywords

feature selection; filter approaches; multi objective optimisation; particle swarm optimisation

Indexed keywords

BINARY PARTICLE SWARM OPTIMISATION; CLASSIFICATION ERROR RATE; CLASSIFICATION PERFORMANCE; FEATURE SELECTION METHODS; FILTER APPROACH; MULTI OBJECTIVE ALGORITHM; NON-DOMINATED SORTING; PARTICLE SWARM OPTIMISATION;

EID: 84871342606     PISSN: 09540091     EISSN: 13600494     Source Type: Journal    
DOI: 10.1080/09540091.2012.737765     Document Type: Article
Times cited : (90)

References (43)
  • 1
    • 0028496468 scopus 로고
    • Learning Boolean Concepts in the Presence of Many Irrelevant Features
    • doi:10.1016/0004-3702(94)90084-1
    • Almuallim, H. and Dietterich, T. G. 1994. Learning Boolean Concepts in the Presence of Many Irrelevant Features. Artificial Intelligence, 69: 279-305. (doi:10.1016/0004-3702(94)90084-1)
    • (1994) Artificial Intelligence , vol.69 , pp. 279-305
    • Almuallim, H.1    Dietterich, T.G.2
  • 2
    • 70449106536 scopus 로고    scopus 로고
    • An Approach to Feature Selection for Keystroke Dynamics Systems based on PSO and Feature Weighting
    • Piscataway, NJ, Piscataway, NJ,: IEEE Press
    • Azevedo, G., Cavalcanti, G. and Filho, E. 2007. "An Approach to Feature Selection for Keystroke Dynamics Systems based on PSO and Feature Weighting". In IEEE Congress on Evolutionary Computation (CEC'07), 3577-3584. Piscataway, NJ: IEEE Press.
    • (2007) IEEE Congress on Evolutionary Computation (CEC'07) , pp. 3577-3584
    • Azevedo, G.1    Cavalcanti, G.2    Filho, E.3
  • 4
    • 8844244184 scopus 로고    scopus 로고
    • Genetic Algorithm with Fuzzy Fitness Function for Feature Selection
    • Piscataway, NJ, Piscataway, NJ,: IEEE Press
    • Chakraborty, B. Genetic Algorithm with Fuzzy Fitness Function for Feature Selection. IEEE International Symposium on Industrial Electronics (ISIE'02). Vol. 1, pp.315-319. Piscataway, NJ: IEEE Press.
    • IEEE International Symposium on Industrial Electronics (ISIE'02) , vol.1 , pp. 315-319
    • Chakraborty, B.1
  • 7
    • 37549011765 scopus 로고    scopus 로고
    • Improved Binary PSO for Feature Selection using Gene Expression Data
    • doi:10.1016/j.compbiolchem.2007.09.005
    • Chuang, L. Y., Chang, H. W., Tu, C. J. and Yang, C. H. 2008. Improved Binary PSO for Feature Selection using Gene Expression Data. Computational Biology and Chemistry, 32(29): 29-38. (doi:10.1016/j.compbiolchem.2007.09.005)
    • (2008) Computational Biology and Chemistry , vol.32 , Issue.29 , pp. 29-38
    • Chuang, L.Y.1    Chang, H.W.2    Tu, C.J.3    Yang, C.H.4
  • 8
    • 79957970608 scopus 로고    scopus 로고
    • Improved Binary Particle Swarm Optimization using Catfish Effect for Feature Selection
    • doi:10.1016/j.eswa.2011.04.057
    • Chuang, L. Y., Tsai, S. W. and Yang, C. H. 2011. Improved Binary Particle Swarm Optimization using Catfish Effect for Feature Selection. Expert Systems with Applications, 38: 12699-12707. (doi:10.1016/j.eswa.2011.04.057)
    • (2011) Expert Systems with Applications , vol.38 , pp. 12699-12707
    • Chuang, L.Y.1    Tsai, S.W.2    Yang, C.H.3
  • 9
    • 0013326060 scopus 로고    scopus 로고
    • Feature Selection for Classification
    • doi:10.1016/S1088-467X(97)00008-5
    • Dash, M. and Liu, H. 1997. Feature Selection for Classification. Intelligent Data Analysis, 1(4): 131-156. (doi:10.1016/S1088-467X(97)00008-5)
    • (1997) Intelligent Data Analysis , vol.1 , Issue.4 , pp. 131-156
    • Dash, M.1    Liu, H.2
  • 10
    • 0242302657 scopus 로고    scopus 로고
    • Consistency-Based Search in Feature Selection
    • doi:10.1016/S0004-3702(03)00079-1
    • Dash, M. and Lee, H. 2003. Consistency-Based Search in Feature Selection. Artificial Intelligence, 151(1-2): 155-176. (doi:10.1016/S0004-3702(03)00079-1)
    • (2003) Artificial Intelligence , vol.151 , Issue.1-2 , pp. 155-176
    • Dash, M.1    Lee, H.2
  • 11
  • 14
    • 78649934709 scopus 로고    scopus 로고
    • Irvine, CA, Irvine, CA,: University of California, School of Information and Computer Sciences
    • Frank, A. and Asuncion, A. 2010. Machine Learning Repository, Irvine, CA: University of California, School of Information and Computer Sciences.
    • (2010) Machine Learning Repository
    • Frank, A.1    Asuncion, A.2
  • 15
    • 28444441282 scopus 로고    scopus 로고
    • Ant Colony Optimization Based Network Intrusion Feature Selection and Detection
    • Piscataway, NJ, Piscataway, NJ,: IEEE Press
    • Gao, H. H., Yang, H. H. and Wang, X. Y. Ant Colony Optimization Based Network Intrusion Feature Selection and Detection. International Conference on Machine Learning and Cybernetics. Vol. 6, pp.3871-3875. Piscataway, NJ: IEEE Press.
    • International Conference on Machine Learning and Cybernetics , vol.6 , pp. 3871-3875
    • Gao, H.H.1    Yang, H.H.2    Wang, X.Y.3
  • 16
    • 38049062940 scopus 로고    scopus 로고
    • Multi-Objective Feature Selection with NSGA II
    • In: Beliczynski B., Dzielinski A., Iwanowski M., Ribeiro B., editors Berlin, Heidelberg, Berlin, Heidelberg,: Springer-Verlag
    • Hamdani, T. M., Won, J. M., Alimi, A. M. and Karray, F. Multi-Objective Feature Selection with NSGA II. 8th International Conference on Adaptive and Natural Computing Algorithms (ICANNGA'07) Par, Edited by: Beliczynski, B., Dzielinski, A., Iwanowski, M. and Ribeiro, B. Vol. 4431, pp.240-247. Berlin, Heidelberg: Springer-Verlag.
    • 8th International Conference on Adaptive and Natural Computing Algorithms (ICANNGA'07) Par , vol.4431 , pp. 240-247
    • Hamdani, T.M.1    Won, J.M.2    Alimi, A.M.3    Karray, F.4
  • 17
    • 50149108380 scopus 로고    scopus 로고
    • A Distributed PSO-SVM Hybrid System with Feature Selection and Parameter Optimization
    • doi:10.1016/j.asoc.2007.10.007
    • Huang, C. L. and Dun, J. F. 2008. A Distributed PSO-SVM Hybrid System with Feature Selection and Parameter Optimization. Application on Soft Computing, 8: 1381-1391. (doi:10.1016/j.asoc.2007.10.007)
    • (2008) Application on Soft Computing , vol.8 , pp. 1381-1391
    • Huang, C.L.1    Dun, J.F.2
  • 18
    • 40249088411 scopus 로고    scopus 로고
    • Feature-Level Fusion by Multi-Objective Binary Particle Swarm Based Unbiased Feature Selection for Optimized Sensor System Design
    • IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Piscataway, NJ, Piscataway, NJ,: IEEE Press
    • Iswandy, K. and Koenig, A. Feature-Level Fusion by Multi-Objective Binary Particle Swarm Based Unbiased Feature Selection for Optimized Sensor System Design. IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems. pp.365-370. Piscataway, NJ: IEEE Press.
    • Iswandy, K.1    Koenig, A.2
  • 20
    • 0031352450 scopus 로고    scopus 로고
    • A Discrete Binary Version of the Particle Swarm Algorithm
    • IEEE International Conference on Systems, Man, and Cybernetics, Piscataway, NJ, Piscataway, NJ,: IEEE Press
    • Kennedy, J. and Eberhart, R. A Discrete Binary Version of the Particle Swarm Algorithm. IEEE International Conference on Systems, Man, and Cybernetics. 1997. Computational Cybernetics and Simulation., Vol. 5, pp.4104-4108. Piscataway, NJ: IEEE Press.
    • (1997) Computational Cybernetics and Simulation. , vol.5 , pp. 4104-4108
    • Kennedy, J.1    Eberhart, R.2
  • 21
    • 0003075638 scopus 로고    scopus 로고
    • A Practical Approach to Feature Selection
    • In: Sleeman D. H., Edwards P., editors San Francisco, CA, San Francisco, CA,: Morgan Kaufmann Publishers
    • Kira, K. and Rendell, L. A. A Practical Approach to Feature Selection. Assorted Conferences and Workshops, Edited by: Sleeman, D. H. and Edwards, P. pp.249-256. San Francisco, CA: Morgan Kaufmann Publishers.
    • Assorted Conferences and Workshops , pp. 249-256
    • Kira, K.1    Rendell, L.A.2
  • 22
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for Feature Subset Selection
    • doi:10.1016/S0004-3702(97)00043-X
    • Kohavi, R. and John, G. H. 1997. Wrappers for Feature Subset Selection. Artificial Intelligence, 97: 273-324. (doi:10.1016/S0004-3702(97)00043-X)
    • (1997) Artificial Intelligence , vol.97 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 23
    • 35248851524 scopus 로고    scopus 로고
    • A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization
    • In: Cantú-Paz E., Foster J. A., Deb K., Davis L., Roy R., O'Reilly U.-M., Beyer H.-G., Standish R. K., Kendall G., Wilson S. W., Harman M., Wegener J., Dasgupta D., Potter M. A., Schultz A. C., Dowsland K. A., Jonoska N., Miller J. F., editors Annual Conference on Genetic and Evolutionary Computation (GECCO'03), Berlin, Heidelberg, Berlin, Heidelberg,: Springer-Verlag
    • Li, X. A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization. Annual Conference on Genetic and Evolutionary Computation (GECCO'03). Edited by: Cantú-Paz, E., Foster, J. A., Deb, K., Davis, L., Roy, R., O'Reilly, U.-M., Beyer, H.-G., Standish, R. K., Kendall, G., Wilson, S. W., Harman, M., Wegener, J., Dasgupta, D., Potter, M. A., Schultz, A. C., Dowsland, K. A., Jonoska, N. and Miller, J. F. pp.37-48. Berlin, Heidelberg: Springer-Verlag.
    • Li, X.1
  • 24
    • 79958252965 scopus 로고    scopus 로고
    • An Improved Particle Swarm Optimization for Feature Selection
    • doi:10.1016/S1672-6529(11)60020-6
    • Liu, Y., Wang, G., Chen, H. and Dong, H. 2011. An Improved Particle Swarm Optimization for Feature Selection. Journal of Bionic Engineering, 8(2): 191-200. (doi:10.1016/S1672-6529(11)60020-6)
    • (2011) Journal of Bionic Engineering , vol.8 , Issue.2 , pp. 191-200
    • Liu, Y.1    Wang, G.2    Chen, H.3    Dong, H.4
  • 25
    • 84914813506 scopus 로고
    • On the Effectiveness of Receptors in Recognition Systems
    • doi:10.1109/TIT.1963.1057810
    • Marill, T. and Green, D. 1963. On the Effectiveness of Receptors in Recognition Systems. IEEE Transactions on Information Theory, 9(1): 11-17. (doi:10.1109/TIT.1963.1057810)
    • (1963) IEEE Transactions on Information Theory , vol.9 , Issue.1 , pp. 11-17
    • Marill, T.1    Green, D.2
  • 27
  • 28
    • 31744443319 scopus 로고    scopus 로고
    • Genetic Programming for Simultaneous Feature Selection and Classifier Design
    • doi:10.1109/TSMCB.2005.854499
    • Muni, D., Pal, N. and Das, J. 2006. Genetic Programming for Simultaneous Feature Selection and Classifier Design. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 36(1): 106-117. (doi:10.1109/TSMCB.2005.854499)
    • (2006) IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics , vol.36 , Issue.1 , pp. 106-117
    • Muni, D.1    Pal, N.2    Das, J.3
  • 29
    • 67650675481 scopus 로고    scopus 로고
    • Genetic Programming for Feature Subset Ranking in Binary Classification Problems
    • In: Vanneschi L., Gustafson S., Moraglio A., De Falco I., Ebner M., editors European Conference on Genetic Programming, Berlin, Heidelberg, Berlin, Heidelberg,: Springer-Verlag
    • Neshatian, K. and Zhang, M. Genetic Programming for Feature Subset Ranking in Binary Classification Problems. European Conference on Genetic Programming. Edited by: Vanneschi, L., Gustafson, S., Moraglio, A., De Falco, I. and Ebner, M. pp.121-132. Berlin, Heidelberg: Springer-Verlag.
    • Neshatian, K.1    Zhang, M.2
  • 31
    • 0028547556 scopus 로고
    • Floating Search Methods in Feature Selection
    • doi:10.1016/0167-8655(94)90127-9
    • Pudil, P., Novovicova, J. and Kittler, J. V. 1994. Floating Search Methods in Feature Selection. Pattern Recognition Letters, 15(11): 1119-1125. (doi:10.1016/0167-8655(94)90127-9)
    • (1994) Pattern Recognition Letters , vol.15 , Issue.11 , pp. 1119-1125
    • Pudil, P.1    Novovicova, J.2    Kittler, J.V.3
  • 34
    • 24344480582 scopus 로고    scopus 로고
    • Improving PSO-Based Multi-objective Optimization Using Crowding, Mutation and epsilon-Dominance
    • In: Coello Coello C. A., Hernández Aguirre A., Zitzler E., editors Berlin, Heidelberg, Berlin, Heidelberg,: Springer-Verlag
    • Sierra, M. R. and Coello, C. A.C. 2005. "Improving PSO-Based Multi-objective Optimization Using Crowding, Mutation and epsilon-Dominance". In EMO, Edited by: Coello Coello, C. A., Hernández Aguirre, A. and Zitzler, E. 505-519. Berlin, Heidelberg: Springer-Verlag.
    • (2005) EMO , pp. 505-519
    • Sierra, M.R.1    Coello, C.A.C.2
  • 36
    • 77951139898 scopus 로고    scopus 로고
    • A Discrete Particle Swarm Optimization Method for Feature Selection in Binary Classification Problems
    • doi:10.1016/j.ejor.2010.02.032
    • Unler, A. and Murat, A. 2010. A Discrete Particle Swarm Optimization Method for Feature Selection in Binary Classification Problems. European Journal of Operational Research, 206(3): 528-539. (doi:10.1016/j.ejor.2010.02.032)
    • (2010) European Journal of Operational Research , vol.206 , Issue.3 , pp. 528-539
    • Unler, A.1    Murat, A.2
  • 37
    • 0038281789 scopus 로고    scopus 로고
    • Pretoria, Pretoria,: University of Pretoria, Faculty of Natural and Agricultural Science
    • Van Den Bergh, F. 2001. An Analysis of Particle Swarm Optimizers, Pretoria: University of Pretoria, Faculty of Natural and Agricultural Science.
    • (2001) An Analysis of Particle Swarm Optimizers
    • van Den Bergh, F.1
  • 38
    • 33845523839 scopus 로고    scopus 로고
    • Feature Selection Based on Rough Sets and Particle Swarm Optimization
    • doi:10.1016/j.patrec.2006.09.003
    • Wang, X., Yang, J., Teng, X., Xia, W. and Jensen, R. 2007. Feature Selection Based on Rough Sets and Particle Swarm Optimization. Pattern Recognition Letters, 28(4): 459-471. (doi:10.1016/j.patrec.2006.09.003)
    • (2007) Pattern Recognition Letters , vol.28 , Issue.4 , pp. 459-471
    • Wang, X.1    Yang, J.2    Teng, X.3    Xia, W.4    Jensen, R.5
  • 39
    • 0015125457 scopus 로고
    • A Direct Method of Nonparametric Measurement Selection
    • doi:10.1109/T-C.1971.223410
    • Whitney, A. 1971. A Direct Method of Nonparametric Measurement Selection. IEEE Transactions on Computers, C-20(9): 1100-1103. (doi:10.1109/T-C.1971.223410)
    • (1971) IEEE Transactions on Computers , vol.C-20 , Issue.9 , pp. 1100-1103
    • Whitney, A.1
  • 40
    • 84866865991 scopus 로고    scopus 로고
    • New Fitness Functions in Binary Particle Swarm Optimisation for Feature Selection
    • Piscataway, NJ, Piscataway, NJ,: IEEE Press
    • Xue, B., Zhang, M. and Browne, W. N. 2012. "New Fitness Functions in Binary Particle Swarm Optimisation for Feature Selection". In IEEE Congress on Evolutionary Computation (CEC'12), 2145-2152. Piscataway, NJ: IEEE Press.
    • (2012) IEEE Congress on Evolutionary Computation (CEC'12) , pp. 2145-2152
    • Xue, B.1    Zhang, M.2    Browne, W.N.3
  • 42
    • 60249087028 scopus 로고    scopus 로고
    • Different Metaheuristic Strategies to Solve the Feature Selection Problem
    • doi:10.1016/j.patrec.2008.11.012
    • Yusta, S. C. 2009. Different Metaheuristic Strategies to Solve the Feature Selection Problem. Pattern Recognition Letters, 30: 525-534. (doi:10.1016/j.patrec.2008.11.012)
    • (2009) Pattern Recognition Letters , vol.30 , pp. 525-534
    • Yusta, S.C.1


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