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Volumn , Issue , 2014, Pages 3111-3118

Filter based backward elimination in wrapper based PSO for feature selection in classification

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; FEATURE EXTRACTION; LOCAL SEARCH (OPTIMIZATION); PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84908582763     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2014.6900657     Document Type: Conference Paper
Times cited : (48)

References (34)
  • 1
    • 0028547556 scopus 로고
    • Floating search methods in feature selection
    • P. Pudil, J. Novovicova, and J. V. Kittler, "Floating search methods in feature selection," Pattern Recognition Letters, vol. 15, no. 11, pp. 1119-1125, 1994.
    • (1994) Pattern Recognition Letters , vol.15 , Issue.11 , pp. 1119-1125
    • Pudil, P.1    Novovicova, J.2    Kittler, J.V.3
  • 2
    • 0013326060 scopus 로고    scopus 로고
    • Feature selection for classification
    • M. Dash and H. Liu, "Feature selection for classification," Intelligent Data Analysis, vol. 1, no. 4, pp. 131-156, 1997.
    • (1997) Intelligent Data Analysis , vol.1 , Issue.4 , pp. 131-156
    • Dash, M.1    Liu, H.2
  • 3
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • R. Kohavi and G. H. John, "Wrappers for feature subset selection," Artificial Intelligence, vol. 97, pp. 273-324, 1997.
    • (1997) Artificial Intelligence , vol.97 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 9
    • 37549011765 scopus 로고    scopus 로고
    • Improved binary PSO for feature selection using gene expression data
    • L. Y. Chuang, H. W. Chang, C. J. Tu, and C. H. Yang, "Improved binary PSO for feature selection using gene expression data," Computational Biology and Chemistry, vol. 32, no. 29, pp. 29-38, 2008.
    • (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
  • 12
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
    • H. Peng, F. Long, and C. Ding, "Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 8, pp. 1226-1238, 2005.
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , Issue.8 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3
  • 14
    • 0015125457 scopus 로고
    • A direct method of nonparametric measurement selection
    • A. Whitney, "A direct method of nonparametric measurement selection," IEEE Transactions on Computers, vol. C-20, no. 9, pp. 1100-1103, 1971.
    • (1971) IEEE Transactions on Computers , vol.C20 , Issue.9 , pp. 1100-1103
    • Whitney, A.1
  • 15
    • 84914813506 scopus 로고
    • On the effectiveness of receptors in recognition systems
    • T. Marill and D. Green, "On the effectiveness of receptors in recognition systems," IEEE Transactions on Information Theory, vol. 9, no. 1, pp. 11-17, 1963.
    • (1963) IEEE Transactions on Information Theory , vol.9 , Issue.1 , pp. 11-17
    • Marill, T.1    Green, D.2
  • 20
    • 84875221723 scopus 로고    scopus 로고
    • Feature subset selection using differential evolution and a wheel based search strategy
    • A. Al-Ani, A. Alsukker, and R. N. Khushaba, "Feature subset selection using differential evolution and a wheel based search strategy," Swarm and Evolutionary Computation, vol. 9, pp. 15-26, 2013.
    • (2013) Swarm and Evolutionary Computation , vol.9 , pp. 15-26
    • Al-Ani, A.1    Alsukker, A.2    Khushaba, R.N.3
  • 22
    • 79957970608 scopus 로고    scopus 로고
    • Improved binary particle swarm optimization using catfish effect for feature selection
    • L. Y. Chuang, S. W. Tsai, and C. H. Yang, "Improved binary particle swarm optimization using catfish effect for feature selection," Expert Systems with Applications, vol. 38, pp. 12 699-12 707, 2011.
    • (2011) Expert Systems with Applications , vol.38 , pp. 12699-12707
    • Chuang, L.Y.1    Tsai, S.W.2    Yang, C.H.3
  • 23
    • 84904615696 scopus 로고    scopus 로고
    • Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms
    • B. Xue, M. Zhang, and W. N. Browne, "Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms," Applied Soft Computing, p. Online, 2013.
    • (2013) Applied Soft Computing, P. Online
    • Xue, B.1    Zhang, M.2    Browne, W.N.3
  • 24
    • 48749109333 scopus 로고    scopus 로고
    • Particle swarm optimization for parameter determination and feature selection of support vector machines
    • S. W. Lin, K. C. Ying, S. C. Chen, and Z. J. Lee, "Particle swarm optimization for parameter determination and feature selection of support vector machines," Expert Systems with Applications, vol. 35, no. 4, pp. 1817-1824, 2008.
    • (2008) Expert Systems with Applications , vol.35 , Issue.4 , pp. 1817-1824
    • Lin, S.W.1    Ying, K.C.2    Chen, S.C.3    Lee, Z.J.4
  • 25
    • 84871342606 scopus 로고    scopus 로고
    • A multi-objective particle swarm optimisation for filter based feature selection in classification problems
    • B. Xue, L. Cervante, L. Shang, W. N. Browne, and M. Zhang, "A multi-objective particle swarm optimisation for filter based feature selection in classification problems," Connection Science, 2012.
    • (2012) Connection Science
    • Xue, B.1    Cervante, L.2    Shang, L.3    Browne, W.N.4    Zhang, M.5
  • 26
    • 84887799080 scopus 로고    scopus 로고
    • Particle swarm optimization for feature selection in classification: A multi-objective approach
    • B. Xue, M. Zhang, and W. Browne, "Particle swarm optimization for feature selection in classification: A multi-objective approach," IEEE Transactions on Cybernetics, vol. 43, no. 6, pp. 1656-1671, 2013.
    • (2013) IEEE Transactions on Cybernetics , vol.43 , Issue.6 , pp. 1656-1671
    • Xue, B.1    Zhang, M.2    Browne, W.3
  • 29
    • 84889103165 scopus 로고    scopus 로고
    • Multivariate methods using mixtures: Correspondence analysis, scaling and pattern detection
    • S. Pledger and R. Arnold, "Multivariate methods using mixtures: Correspondence analysis, scaling and pattern detection," Computational Statistics and Data Analysis (online: Http://dx. doi. org/10. 1016/j. csda. 2013. 05. 013), 2013.
    • (2013) Computational Statistics and Data Analysis
    • Pledger, S.1    Arnold, R.2
  • 32
    • 84866865991 scopus 로고    scopus 로고
    • New fitness functions in binary particle swarm optimisation for feature selection
    • B. Xue, M. Zhang, and W. N. Browne, "New fitness functions in binary particle swarm optimisation for feature selection," in IEEE Congress on Evolutionary Computation (CEC'12), 2012, pp. 2145-2152.
    • (2012) IEEE Congress on Evolutionary Computation (CEC'12) , pp. 2145-2152
    • Xue, B.1    Zhang, M.2    Browne, W.N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.