메뉴 건너뛰기




Volumn 29, Issue 4, 2014, Pages 703-719

Feature selection based on meta-heuristics for biomedicine

Author keywords

biomedicine; feature selection; meta heuristic

Indexed keywords


EID: 84894101318     PISSN: 10556788     EISSN: 10294937     Source Type: Journal    
DOI: 10.1080/10556788.2013.834900     Document Type: Article
Times cited : (38)

References (44)
  • 1
    • 58349085948 scopus 로고    scopus 로고
    • Text feature selection using ant colony optimization
    • M.H. Aghdam, N. Ghasem-Aghaee, and M.E. Basiri, Text feature selection using ant colony optimization, Expert Syst. Appl. 36 (2009), pp. 6843-6853.
    • (2009) Expert Syst. Appl. , vol.36 , pp. 6843-6853
    • Aghdam, M.H.1    Ghasem-Aghaee, N.2    Basiri, M.E.3
  • 2
    • 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 Evol. Comput. 9 (2013), pp. 15-26.
    • (2013) Swarm Evol. Comput. , vol.9 , pp. 15-26
    • Al-Ani, A.1    Alsukker, A.2    Khushaba, R.N.3
  • 3
    • 79954634261 scopus 로고    scopus 로고
    • Variable selection in near-infrared spectroscopy: Benchmarking of feature selection methods on biodiesel data
    • R.M. Balabina and S.V. Smirnov,Variable selection in near-infrared spectroscopy: Benchmarking of feature selection methods on biodiesel data, Anal. Chim. Acta. 692 (2011), pp. 63-72.
    • (2011) Anal. Chim. Acta. , vol.692 , pp. 63-72
    • Balabina, R.M.1    Smirnov, S.V.2
  • 4
    • 84861820472 scopus 로고    scopus 로고
    • Application of global optimization methods to model and feature selection
    • A. Boubezoula and S. Paris, Application of global optimization methods to model and feature selection, Pattern Recognit. 45 (2012), pp. 3676-3686.
    • (2012) Pattern Recognit. , vol.45 , pp. 3676-3686
    • Boubezoula, A.1    Paris, S.2
  • 5
    • 79956124856 scopus 로고    scopus 로고
    • Genetic algorithms for feature selection of image analysis-based quality monitoring model: An application to an iron mine
    • S. Chatterjee and A. Bhattacherjee, Genetic algorithms for feature selection of image analysis-based quality monitoring model: An application to an iron mine, Eng. Appl. Artif. Intell. 24 (2011), pp. 786-795.
    • (2011) Eng. Appl. Artif. Intell. , vol.24 , pp. 786-795
    • Chatterjee, S.1    Bhattacherjee, A.2
  • 6
    • 84875245118 scopus 로고    scopus 로고
    • Efficient ant colony optimization for image feature selection
    • B.L. Chen, L. Chen, and Y.X. Chen, Efficient ant colony optimization for image feature selection, Signal Process. 93 (2013), pp. 1566-1576.
    • (2013) Signal Process. , vol.93 , pp. 1566-1576
    • Chen, B.L.1    Chen, L.2    Chen, Y.X.3
  • 7
    • 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, Comput. Biol. Chem. 32 (2008), pp. 29-38.
    • (2008) Comput. Biol. Chem. , vol.32 , pp. 29-38
    • Chuang, L.Y.1    Chang, H.W.2    Tu, C.J.3    Yang, C.H.4
  • 8
    • 77957925386 scopus 로고    scopus 로고
    • Chaotic maps based on binary particle swarm optimization for feature selection
    • L.Y. Chuang, C.H.Yang, and J.C. Li, Chaotic maps based on binary particle swarm optimization for feature selection, Appl. Soft Comput. 11 (2011), pp. 239-248.
    • (2011) Appl. Soft Comput. , vol.11 , pp. 239-248
    • Chuang, L.Y.1    Yang, C.H.2    Li, J.C.3
  • 9
    • 79957970608 scopus 로고    scopus 로고
    • Improved binary particle swarm optimization using catfish effect for feature selection
    • L. Chuang, S. Tsai, and C. Yang, Improved binary particle swarm optimization using catfish effect for feature selection, Expert Syst. Appl. 38 (2011), pp. 12699-12707.
    • (2011) Expert Syst. Appl. , vol.38 , pp. 12699-12707
    • Chuang, L.1    Tsai, S.2    Yang, C.3
  • 10
    • 84861862248 scopus 로고    scopus 로고
    • A genetic algorithm based region sampling for selection of local features in handwritten digit recognition application,Appl
    • N. Das, R. Sarkar, S. Basu, M. Kundu, M. Nasipuri, and D.K. Basu, A genetic algorithm based region sampling for selection of local features in handwritten digit recognition application,Appl. Soft Comput. 12 (2012), pp. 1592-1606.
    • (2012) Soft Comput. , vol.12 , pp. 1592-1606
    • Das, N.1    Sarkar, R.2    Basu, S.3    Kundu, M.4    Nasipuri, M.5    Basu, D.K.6
  • 11
    • 0034974417 scopus 로고    scopus 로고
    • A new heuristic optimization algorithm: Harmony search
    • Z.W. Geem, J.H. Kim, and G.V. Loganathan, A new heuristic optimization algorithm: Harmony search, Simulation. 76 (2001), pp. 60-68. (Pubitemid 32543074)
    • (2001) Simulation , vol.76 , Issue.2 , pp. 60-68
    • Geem, Z.W.1    Kim, J.H.2    Loganathan, G.V.3
  • 13
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • I. Guyon and A. Elisseeff, An introduction to variable and feature selection, J. Mach. Learn. Res. 3 (2003), pp. 1157-1182.
    • (2003) J. Mach. Learn. Res. , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 14
    • 0036945847 scopus 로고    scopus 로고
    • Quantum-inspired evolutionary algorithm for a class of combinatorial optimization
    • K.H. Han and J.H. Kim, Quantum-inspired evolutionary algorithm for a class of combinatorial optimization, IEEE Trans. Evol. Comput. 6 (2002), pp. 580-593.
    • (2002) IEEE Trans. Evol. Comput. , vol.6 , pp. 580-593
    • Han, K.H.1    Kim, J.H.2
  • 15
    • 27844458593 scopus 로고    scopus 로고
    • Efficient huge-scale feature selection with speciated genetic algorithm
    • J.H. Hong and S.B. Cho, Efficient huge-scale feature selection with speciated genetic algorithm, Pattern Recognit. Lett. 27 (2006), 143-150.
    • (2006) Pattern Recognit. Lett. , vol.27 , pp. 143-150
    • Hong, J.H.1    Cho, S.B.2
  • 16
    • 70350705845 scopus 로고    scopus 로고
    • ACO-based hybrid classification system with feature subset selection and model parameters optimization
    • C.L. Huang, ACO-based hybrid classification system with feature subset selection and model parameters optimization, Neurocomputing. 73 (2009), pp. 438-448.
    • (2009) Neurocomputing , vol.73 , pp. 438-448
    • Huang, C.L.1
  • 17
    • 83855160795 scopus 로고    scopus 로고
    • Ant colony optimization-based feature selection method for surface electromyography signals classification
    • H. Huang, H.B. Xie, J.Y. Guo, and H.J. Chen, Ant colony optimization-based feature selection method for surface electromyography signals classification, Comput. Biol. Med. 42 (2012), pp. 30-38.
    • (2012) Comput. Biol. Med. , vol.42 , pp. 30-38
    • Huang, H.1    Xie, H.B.2    Guo, J.Y.3    Chen, H.J.4
  • 18
    • 80052941913 scopus 로고    scopus 로고
    • A new local search based hybrid genetic algorithm for feature selection
    • M.M. Kabir,M. Shahjahan, and K. Murase, A new local search based hybrid genetic algorithm for feature selection, Neurocomputing. 74 (2011), pp. 2914-2928.
    • (2011) Neurocomputing , vol.74 , pp. 2914-2928
    • Kabir, M.M.1    Shahjahan, M.2    Murase, K.3
  • 19
    • 80255138746 scopus 로고    scopus 로고
    • A new hybrid ant colony optimization algorithm for feature selection
    • M.M. Kabira, M. Shahjahanb, and K. Murase, A new hybrid ant colony optimization algorithm for feature selection, Expert Syst. Appl. 39 (2012), pp. 3747-3763.
    • (2012) Expert Syst. Appl. , vol.39 , pp. 3747-3763
    • Kabira, M.M.1    Shahjahanb, M.2    Murase, K.3
  • 20
    • 0031352450 scopus 로고    scopus 로고
    • A discrete binary version of the particle swarm algorithm
    • J. Kennedy and R.C. Eberhart, A discrete binary version of the particle swarm algorithm, Comput. Cybern. Simul. 5 (1997), pp. 4104-4108.
    • (1997) Comput. Cybern. Simul. , vol.5 , pp. 4104-4108
    • Kennedy, J.1    Eberhart, R.C.2
  • 21
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • PII S000437029700043X
    • R. Kohavi and G.H. John, Wrappers for feature subset selection, Artif. Intell. 97 (1997), pp. 273-324. (Pubitemid 127401107)
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 23
    • 77957990796 scopus 로고    scopus 로고
    • An effective feature selection method for hyperspectral image classification based on genetic algorithm and support vector machine
    • S. Li, H.Wu, D.Wan, and J. Zhu, An effective feature selection method for hyperspectral image classification based on genetic algorithm and support vector machine, Knowl. Based Syst. 24 (2011), pp. 40-48.
    • (2011) Knowl. Based Syst. , vol.24 , pp. 40-48
    • Li, S.1    Wu, H.2    Wan, D.3    Zhu, J.4
  • 24
    • 78650711965 scopus 로고    scopus 로고
    • Diagnosis of bladder cancers with small sample size via feature selection
    • T.W. Liao, Diagnosis of bladder cancers with small sample size via feature selection, Expert Syst. Appl. 38 (2011), pp. 4649-4654.
    • (2011) Expert Syst. Appl. , vol.38 , pp. 4649-4654
    • Liao, T.W.1
  • 26
    • 77956414365 scopus 로고    scopus 로고
    • GA-based method for feature selection and parameters optimization for machine learning regression applied to software effort estimation
    • A.L.I. Oliveira, P.L. Braga, R.M.F. Lima, and M.L Cornlio, GA-based method for feature selection and parameters optimization for machine learning regression applied to software effort estimation, Inf. Softw. Technol. 52 (2010), pp. 1155-1166.
    • (2010) Inf. Softw. Technol. , vol.52 , pp. 1155-1166
    • Oliveira, A.L.I.1    Braga, P.L.2    Lima, R.M.F.3    Cornlio, M.L.4
  • 28
    • 84869493280 scopus 로고    scopus 로고
    • Genetic algorithm wrapped Bayesian network feature selection applied to differential diagnosis of erythemato-squamous diseases
    • A. Ozcift and A. Gultenb, Genetic algorithm wrapped Bayesian network feature selection applied to differential diagnosis of erythemato-squamous diseases, Digit. Signal Process. 23 (2013), pp. 230-237.
    • (2013) Digit. Signal Process. , vol.23 , pp. 230-237
    • Ozcift, A.1    Gultenb, A.2
  • 29
    • 74649087307 scopus 로고    scopus 로고
    • A novel feature selection approach for biomedical data classification
    • Y. Peng, Z. Wu, and J. Jiang, A novel feature selection approach for biomedical data classification, J. Biomed. Inform. 43 (2010), pp. 15-23.
    • (2010) J. Biomed. Inform. , vol.43 , pp. 15-23
    • Peng, Y.1    Wu, Z.2    Jiang, J.3
  • 30
    • 82655173768 scopus 로고    scopus 로고
    • A novel algorithm for feature selection using Harmony search and its application for non-technical losses detection
    • C.C.O. Ramos, A.N. Souza, and J.P. Papa, A novel algorithm for feature selection using Harmony search and its application for non-technical losses detection, Comput. Electr. Eng. 37 (2011), pp. 886-894.
    • (2011) Comput. Electr. Eng. , vol.37 , pp. 886-894
    • Ramos, C.C.O.1    Souza, A.N.2    Papa, J.P.3
  • 31
    • 70349452071 scopus 로고    scopus 로고
    • Feature selection techniques for maximum entropy based biomedical named entity recognition
    • S.K. Saha, S. Sarkar, and P. Mitra, Feature selection techniques for maximum entropy based biomedical named entity recognition, J. Biomed. Inform. 42 (2009), pp. 905-911.
    • (2009) J. Biomed. Inform. , vol.42 , pp. 905-911
    • Saha, S.K.1    Sarkar, S.2    Mitra, P.3
  • 32
    • 0142000477 scopus 로고    scopus 로고
    • Differential Evolution - A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces
    • R. Storn and K.V. Price, Differential Evolution a simple and efficient adaptive scheme for global optimization over continuous spaces, J. Global Optim. 11 (1997), pp. 341-359. (Pubitemid 127502202)
    • (1997) Journal of Global Optimization , vol.11 , Issue.4 , pp. 341-359
    • Storn, R.1    Price, K.2
  • 33
    • 77956611003 scopus 로고    scopus 로고
    • Mr2PSO: A maximum relevance minimum redundancy feature selection method based on swarm intelligence for support vector machine classification
    • A. Unlera, A. Muratb, and R.B. Chinnam, mr2PSO: A maximum relevance minimum redundancy feature selection method based on swarm intelligence for support vector machine classification, Inf. Sci. 181 (2011) pp. 4625-4641.
    • (2011) Inf. Sci. , vol.181 , pp. 4625-4641
    • Unlera, A.1    Muratb, A.2    Chinnam, R.B.3
  • 35
    • 47949095799 scopus 로고    scopus 로고
    • A novel quantum ant colony optimization algorithm and its application to fault diagnosis
    • L. Wang, Q. Niu, and M. Fei, A novel quantum ant colony optimization algorithm and its application to fault diagnosis, Trans. Inst. Meas. Control. 30 (2008), pp. 313-329.
    • (2008) Trans. Inst. Meas. Control. , vol.30 , pp. 313-329
    • Wang, L.1    Niu, Q.2    Fei, M.3
  • 36
    • 61349128526 scopus 로고    scopus 로고
    • Naphtha cracking furnace fault diagnosis based on adaptive quantum ant colony algorithm
    • L.Wang, X.T.Wang, and J.S.Yu, Naphtha cracking furnace fault diagnosis based on adaptive quantum ant colony algorithm, J. Chem. Ind. Eng. 60 (2009), pp. 401-408.
    • (2009) J. Chem. Ind. Eng. , vol.60 , pp. 401-408
    • Wang, L.1    Wang, X.T.2    Yu, J.S.3
  • 38
    • 84867224174 scopus 로고    scopus 로고
    • A novel modified binary differential evolution algorithm and its applications
    • L.Wang, X. Fu,Y. Mao, M.I. Menhas, and M. Fei, A novel modified binary differential evolution algorithm and its applications, Neurocomputing. 98 (2012), pp. 55-75.
    • (2012) Neurocomputing , vol.98 , pp. 55-75
    • Wang, L.1    Fu, X.2    Mao, Y.3    Menhas, M.I.4    Fei, M.5
  • 39
    • 84875444050 scopus 로고    scopus 로고
    • An improved adaptive binary harmony search algorithm
    • L. Wang, R.X. Yang, Y. Xu, Q. Niu, P.M. Pardalos, and M.R. Fei, An improved adaptive binary harmony search algorithm, Inf. Sci. 232 (2013), pp. 58-87.
    • (2013) Inf. Sci , vol.232 , pp. 58-87
    • Wang, L.1    Yang, R.X.2    Xu, Y.3    Niu, Q.4    Pardalos, P.M.5    Fei, M.R.6
  • 41
    • 25144492516 scopus 로고    scopus 로고
    • Efficient feature selection via analysis of relevance and redundancy
    • L.Yu and H. Liu, Efficient feature selection via analysis of relevance and redundancy, J.Mach. Learn. Res. 5 (2004), pp. 1205-1224.
    • (2004) J.Mach. Learn. Res , vol.5 , pp. 1205-1224
    • Yu, L.1    Liu, H.2
  • 42
    • 60249087028 scopus 로고    scopus 로고
    • Different metaheuristic strategies to solve the feature selection problem
    • S.C.Yusta, Different metaheuristic strategies to solve the feature selection problem, Pattern Recognit. Lett. 30 (2009), pp. 525-534.
    • (2009) Pattern Recognit. Lett , vol.30 , pp. 525-534
    • Yusta, S.C.1
  • 44
    • 84867878080 scopus 로고    scopus 로고
    • Neighborhood effective information ratio for hybrid feature subset evaluation and selection
    • W.Z. Zhu, G.Q. Si,Y.B. Zhang, and J.C.Wang, Neighborhood effective information ratio for hybrid feature subset evaluation and selection, Neurocomputing. 99 (2013), pp. 25-37.
    • (2013) Neurocomputing , vol.99 , pp. 25-37
    • Zhu, W.Z.1    Si, G.Q.2    Zhang, Y.B.3    Wang, J.C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.