메뉴 건너뛰기




Volumn 84, Issue , 2015, Pages 144-161

Integration of graph clustering with ant colony optimization for feature selection

Author keywords

Ant colony optimization; Feature selection; Filter method; Graph clustering

Indexed keywords

ANT COLONY OPTIMIZATION; BENCHMARKING; CLUSTERING ALGORITHMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; POPULATION DYNAMICS; SET THEORY; SIGNAL DETECTION;

EID: 84929506260     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2015.04.007     Document Type: Article
Times cited : (183)

References (68)
  • 2
    • 58549117670 scopus 로고    scopus 로고
    • Bankruptcy prediction modeling with hybrid case-based reasoning and genetic algorithms approach
    • H. Ahn, and K.-J. Kim Bankruptcy prediction modeling with hybrid case-based reasoning and genetic algorithms approach Appl. Soft Comput. 9 2009 599 607
    • (2009) Appl. Soft Comput. , vol.9 , pp. 599-607
    • Ahn, H.1    Kim, K.-J.2
  • 3
    • 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 Evolut. Comput. 9 2013 15 26
    • (2013) Swarm Evolut. Comput. , vol.9 , pp. 15-26
    • Al-Ani, A.1    Alsukker, A.2    Khushaba, R.N.3
  • 4
    • 84861590173 scopus 로고    scopus 로고
    • An unsupervised approach to feature discretization and selection
    • Artur J. Ferreira, and M.A.T. Figueiredo An unsupervised approach to feature discretization and selection Pattern Recogn. 45 2012 3048 3060
    • (2012) Pattern Recogn. , vol.45 , pp. 3048-3060
    • Ferreira, A.J.1    Figueiredo, M.A.T.2
  • 6
    • 84887799080 scopus 로고    scopus 로고
    • Particle swarm optimization for feature selection in classification: A multi-objective approach
    • Bing Xue, Mengjie Zhang, and W.N. Browne Particle swarm optimization for feature selection in classification: a multi-objective approach IEEE Trans. Cybernet. 43 2013 1656 1671
    • (2013) IEEE Trans. Cybernet. , vol.43 , pp. 1656-1671
    • Xue, B.1    Zhang, M.2    Browne, W.N.3
  • 7
    • 84872137283 scopus 로고    scopus 로고
    • Information-theoretic selection of high-dimensional spectral features for structural recognition
    • B. Bonev, F. Escolano, D. Giorgi, and S. Biasotti Information-theoretic selection of high-dimensional spectral features for structural recognition Comput. Vis. Image Underst. 117 2013 214 228
    • (2013) Comput. Vis. Image Underst. , vol.117 , pp. 214-228
    • Bonev, B.1    Escolano, F.2    Giorgi, D.3    Biasotti, S.4
  • 8
    • 84887472714 scopus 로고    scopus 로고
    • A GA-based feature selection approach with an application to handwritten character recognition
    • C. De Stefano, F. Fontanella, C. Marrocco, and A.S.d. Freca A GA-based feature selection approach with an application to handwritten character recognition Pattern Recogn. Lett. 35 2014 130 141
    • (2014) Pattern Recogn. Lett. , vol.35 , pp. 130-141
    • De Stefano, C.1    Fontanella, F.2    Marrocco, C.3    Freca, A.S.D.4
  • 9
    • 84879480285 scopus 로고    scopus 로고
    • Feature subset selection filter-wrapper based on low quality data
    • J.M. Cadenas, M.C. Garrido, and R. Martínez Feature subset selection filter-wrapper based on low quality data Expert Syst. Appl. 40 2013 6241 6252
    • (2013) Expert Syst. Appl. , vol.40 , pp. 6241-6252
    • Cadenas, J.M.1    Garrido, M.C.2    Martínez, R.3
  • 11
    • 84875245118 scopus 로고    scopus 로고
    • Efficient ant colony optimization for image feature selection
    • B. Chen, L. Chen, and Y. Chen Efficient ant colony optimization for image feature selection Signal Process. 93 2013 1566 1576
    • (2013) Signal Process. , vol.93 , pp. 1566-1576
    • Chen, B.1    Chen, L.2    Chen, Y.3
  • 12
    • 72449177821 scopus 로고    scopus 로고
    • A rough set approach to feature selection based on ant colony optimization
    • Y. Chen, D. Miao, and R. Wang A rough set approach to feature selection based on ant colony optimization Pattern Recogn. Lett. 31 2010 226 233
    • (2010) Pattern Recogn. Lett. , vol.31 , pp. 226-233
    • Chen, Y.1    Miao, D.2    Wang, R.3
  • 13
    • 84871924281 scopus 로고    scopus 로고
    • Genetic algorithms in feature and instance selection
    • Chih-Fong Tsai, William Eberle, and Chi-Yuan Chu Genetic algorithms in feature and instance selection Knowl.-Based Syst. 39 2013 240 247
    • (2013) Knowl.-Based Syst. , vol.39 , pp. 240-247
    • Tsai, C.-F.1    Eberle, W.2    Chu, C.-Y.3
  • 14
    • 84902664314 scopus 로고    scopus 로고
    • Study of image retrieval and classification based on adaptive features using genetic algorithm feature selection
    • Chuen-Horng Lin, Huan-Yu Chen, and Y.-S. Wua Study of image retrieval and classification based on adaptive features using genetic algorithm feature selection Expert Syst. Appl. 41 2014 6611 6621
    • (2014) Expert Syst. Appl. , vol.41 , pp. 6611-6621
    • Lin, C.-H.1    Chen, H.-Y.2    Wua, Y.-S.3
  • 16
    • 38048999845 scopus 로고    scopus 로고
    • An improved ant colony optimisation heuristic for graph colouring
    • K.A. Dowsland, and J.M. Thompson An improved ant colony optimisation heuristic for graph colouring Discr. Appl. Math. 156 2008 313 324
    • (2008) Discr. Appl. Math. , vol.156 , pp. 313-324
    • Dowsland, K.A.1    Thompson, J.M.2
  • 17
    • 84904353958 scopus 로고    scopus 로고
    • Enriched ant colony optimization and its application in feature selection
    • Forsati, Moayedikia, Jensen, Shamsfard, and Meybodi Enriched ant colony optimization and its application in feature selection Neurocomputing 142 2014 354 371
    • (2014) Neurocomputing , vol.142 , pp. 354-371
    • Forsati1    Moayedikia2    Jensen3    Shamsfard4    Meybodi5
  • 18
    • 0001837148 scopus 로고
    • A comparison of alternative tests of significance for the problem of m rankings
    • M. Friedman A comparison of alternative tests of significance for the problem of m rankings Ann. Math. Stat. 11 1940 86 92
    • (1940) Ann. Math. Stat. , vol.11 , pp. 86-92
    • Friedman, M.1
  • 19
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • I. Guyon, and A.e. Elisseeff An introduction to variable and feature selection J. Mach. Learn. Res. 2003 1157 1182
    • (2003) J. Mach. Learn. Res. , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.E.2
  • 21
    • 84904605824 scopus 로고    scopus 로고
    • Feature subset selection by gravitational search algorithm optimization
    • X. Han, X. Chang, L. Quan, X. Xiong, J. Li, Z. Zhang, and Y. Liu Feature subset selection by gravitational search algorithm optimization Inform. Sci. 281 2014 128 146
    • (2014) Inform. Sci. , vol.281 , pp. 128-146
    • Han, X.1    Chang, X.2    Quan, L.3    Xiong, X.4    Li, J.5    Zhang, Z.6    Liu, Y.7
  • 22
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
    • Hanchuan Peng, Fuhui Long, and C. Ding Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy IEEE Trans. Pattern Anal. Mach. Intell. 27 2005 1226 1238
    • (2005) IEEE Trans. Pattern Anal. Mach. Intell. , vol.27 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3
  • 24
    • 0036832996 scopus 로고    scopus 로고
    • Design of an optimal nearest neighbor classifier using an intelligent genetic algorithm
    • S.-Y. Ho, C.-C. Liu, and S. Liu Design of an optimal nearest neighbor classifier using an intelligent genetic algorithm Pattern Recogn. Lett. 23 2002 1495 1503
    • (2002) Pattern Recogn. Lett. , vol.23 , pp. 1495-1503
    • Ho, S.-Y.1    Liu, C.-C.2    Liu, S.3
  • 25
    • 50149108380 scopus 로고    scopus 로고
    • A distributed PSO-SVM hybrid system with feature selection and parameter optimization
    • C.-L. Huang, and J.-F. Dun A distributed PSO-SVM hybrid system with feature selection and parameter optimization Appl. Soft Comput. 8 2008 1381 1391
    • (2008) Appl. Soft Comput. , vol.8 , pp. 1381-1391
    • Huang, C.-L.1    Dun, J.-F.2
  • 26
    • 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 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
  • 27
    • 84887826239 scopus 로고    scopus 로고
    • Supervised hybrid feature selection based on PSO and rough sets for medical diagnosis
    • H.H. Inbarani, A.T. Azar, and G. Jothi Supervised hybrid feature selection based on PSO and rough sets for medical diagnosis Comput. Methods Prog. Biomed. 113 2014 175 185
    • (2014) Comput. Methods Prog. Biomed. , vol.113 , pp. 175-185
    • Inbarani, H.H.1    Azar, A.T.2    Jothi, G.3
  • 29
    • 84868315951 scopus 로고    scopus 로고
    • A novel hybrid genetic algorithm and simulated annealing for feature selection and kernel optimization in support vector regression
    • Jiansheng Wu, Zusong Lu, L. Jin, A novel hybrid genetic algorithm and simulated annealing for feature selection and kernel optimization in support vector regression, in: IEEE 13th International Conference on Information Reuse and Integration (IRI), 2012, 2012, pp. 401-406.
    • (2012) IEEE 13th International Conference on Information Reuse and Integration (IRI) , vol.2012 , pp. 401-406
    • Wu, J.1    Lu, Z.2    Jin, L.3
  • 30
    • 79251527494 scopus 로고    scopus 로고
    • A fuzzy self-constructing feature clustering algorithm for text classification
    • Jung-Yi Jiang, Ren-Jia Liou, and S.-J. Lee A fuzzy self-constructing feature clustering algorithm for text classification IEEE Trans. Knowl. Data Eng. 23 2011 335 349
    • (2011) IEEE Trans. Knowl. Data Eng. , vol.23 , pp. 335-349
    • Jiang, J.-Y.1    Liou, R.-J.2    Lee, S.-J.3
  • 31
    • 54249083003 scopus 로고    scopus 로고
    • An improved feature selection method based on ant colony optimization (ACO) evaluated on face recognition system
    • H.R. Kanan, and K. Faez An improved feature selection method based on ant colony optimization (ACO) evaluated on face recognition system Appl. Math. Comput. 205 2008 716 725
    • (2008) Appl. Math. Comput. , vol.205 , pp. 716-725
    • Kanan, H.R.1    Faez, K.2
  • 32
    • 43249111682 scopus 로고    scopus 로고
    • An efficient ant colony optimization approach to attribute reduction in rough set theory
    • L. Ke, Z. Feng, and Z. Ren An efficient ant colony optimization approach to attribute reduction in rough set theory Pattern Recogn. Lett. 29 2008 1351 1357
    • (2008) Pattern Recogn. Lett. , vol.29 , pp. 1351-1357
    • Ke, L.1    Feng, Z.2    Ren, Z.3
  • 34
    • 17044405923 scopus 로고    scopus 로고
    • Toward integrating feature selection algorithms for classification and clustering
    • H. Liu, and L. Yu Toward integrating feature selection algorithms for classification and clustering IEEE Trans. Knowl. Data Eng. 17 2005 491 502
    • (2005) IEEE Trans. Knowl. Data Eng. , vol.17 , pp. 491-502
    • Liu, H.1    Yu, L.2
  • 36
    • 84914816279 scopus 로고    scopus 로고
    • Data feature selection based on artificial bee colony algorithm
    • Mauricio Schiezaro, and H. Pedrini Data feature selection based on artificial bee colony algorithm EURASIP J. Image Video Process. 2013 2013 47
    • (2013) EURASIP J. Image Video Process. , vol.2013 , pp. 47
    • Schiezaro, M.1    Pedrini, H.2
  • 37
    • 80255138746 scopus 로고    scopus 로고
    • A new hybrid ant colony optimization algorithm for feature selection
    • Md. Monirul Kabir, Md. Shahjahan, and K. Murase A new hybrid ant colony optimization algorithm for feature selection Expert Syst. Appl. 39 2012 3747 3763
    • (2012) Expert Syst. Appl. , vol.39 , pp. 3747-3763
    • Kabir, Md.M.1    Shahjahan, Md.2    Murase, K.3
  • 38
    • 80052941913 scopus 로고    scopus 로고
    • A new local search based hybrid genetic algorithm for feature selection
    • Md. Monirul Kabir, Md. Shahjahan, and K. Murase A new local search based hybrid genetic algorithm for feature selection Neurocomputing 74 2011 2914 2928
    • (2011) Neurocomputing , vol.74 , pp. 2914-2928
    • Kabir, Md.M.1    Shahjahan, Md.2    Murase, K.3
  • 42
    • 3943113604 scopus 로고    scopus 로고
    • Theoretical comparison between the Gini index and information gain criteria
    • L.E. Raileanu, and K. Stoffel Theoretical comparison between the Gini index and information gain criteria Ann. Math. Artif. Intell. 41 2004 77 93
    • (2004) Ann. Math. Artif. Intell. , vol.41 , pp. 77-93
    • Raileanu, L.E.1    Stoffel, K.2
  • 44
    • 84904307790 scopus 로고    scopus 로고
    • A novel approach for feature selection based on the bee colony optimization
    • Rana Forsati, Alireza Moayedikia, and A. Keikha A novel approach for feature selection based on the bee colony optimization Int. J. Comput. Appl. 2012 43
    • (2012) Int. J. Comput. Appl. , pp. 43
    • Forsati, R.1    Moayedikia, A.2    Keikha, A.3
  • 45
    • 84871925258 scopus 로고    scopus 로고
    • A simultaneous feature adaptation and feature selection method for content-based image retrieval systems
    • E. Rashedi, H. Nezamabadi-pour, and S. Saryazdi A simultaneous feature adaptation and feature selection method for content-based image retrieval systems Knowl.-Based Syst. 39 2013 85 94
    • (2013) Knowl.-Based Syst. , vol.39 , pp. 85-94
    • Rashedi, E.1    Nezamabadi-Pour, H.2    Saryazdi, S.3
  • 47
    • 84889649005 scopus 로고    scopus 로고
    • An ant colony algorithm for the multi-compartment vehicle routing problem
    • M. Reed, A. Yiannakou, and R. Evering An ant colony algorithm for the multi-compartment vehicle routing problem Appl. Soft Comput. 15 2014 169 176
    • (2014) Appl. Soft Comput. , vol.15 , pp. 169-176
    • Reed, M.1    Yiannakou, A.2    Evering, R.3
  • 48
    • 80051936538 scopus 로고    scopus 로고
    • The ant colony algorithm for feature selection in high-dimension gene expression data for disease classification
    • K.R. Robbins, W. Zhang, and J.K. Bertrand The ant colony algorithm for feature selection in high-dimension gene expression data for disease classification J. Math. Med. Biol. 2008 1 14
    • (2008) J. Math. Med. Biol. , pp. 1-14
    • Robbins, K.R.1    Zhang, W.2    Bertrand, J.K.3
  • 49
    • 0141990695 scopus 로고    scopus 로고
    • Theoretical and empirical analysis of ReliefF and RReliefF
    • M. Robnik-Sikonja, and I. Kononenko Theoretical and empirical analysis of ReliefF and RReliefF Mach. Learn. 53 2003 23 69
    • (2003) Mach. Learn. , vol.53 , pp. 23-69
    • Robnik-Sikonja, M.1    Kononenko, I.2
  • 51
    • 35748932917 scopus 로고    scopus 로고
    • A review of feature selection techniques in bioinformatics
    • Y. Saeys, I. Inza, and P. Larranaga A review of feature selection techniques in bioinformatics Bioinformatics 23 2007 2507 2517
    • (2007) Bioinformatics , vol.23 , pp. 2507-2517
    • Saeys, Y.1    Inza, I.2    Larranaga, P.3
  • 52
    • 33845621875 scopus 로고    scopus 로고
    • A hybrid approach for feature subset selection using neural networks and ant colony optimization
    • R.K. Sivagaminathan, and S. Ramakrishnan A hybrid approach for feature subset selection using neural networks and ant colony optimization Expert Syst. Appl. 33 2007 49 60
    • (2007) Expert Syst. Appl. , vol.33 , pp. 49-60
    • Sivagaminathan, R.K.1    Ramakrishnan, S.2
  • 53
    • 84888315345 scopus 로고    scopus 로고
    • Genetic algorithm-based heuristic for feature selection in credit risk assessment
    • Stjepan. Oreski, and G. Oreski Genetic algorithm-based heuristic for feature selection in credit risk assessment Expert Syst. Appl. 41 2014 2052 2064
    • (2014) Expert Syst. Appl. , vol.41 , pp. 2052-2064
    • Oreski, S.1    Oreski, G.2
  • 54
    • 84900460549 scopus 로고    scopus 로고
    • An unsupervised feature selection algorithm based on ant colony optimization
    • S. Tabakhi, P. Moradi, and F. Akhlaghian An unsupervised feature selection algorithm based on ant colony optimization Eng. Appl. Artif. Intell. 32 2014 112 123
    • (2014) Eng. Appl. Artif. Intell. , vol.32 , pp. 112-123
    • Tabakhi, S.1    Moradi, P.2    Akhlaghian, F.3
  • 56
    • 84871924281 scopus 로고    scopus 로고
    • Genetic algorithms in feature and instance selection
    • C.-F. Tsai, W. Eberle, and C.-Y. Chu Genetic algorithms in feature and instance selection Knowl.-Based Syst. 39 2013 240 247
    • (2013) Knowl.-Based Syst. , vol.39 , pp. 240-247
    • Tsai, C.-F.1    Eberle, W.2    Chu, C.-Y.3
  • 57
    • 80955181170 scopus 로고    scopus 로고
    • A two-stage feature selection method for text categorization by using information gain, principal component analysis and genetic algorithm
    • H. Uʇuz A two-stage feature selection method for text categorization by using information gain, principal component analysis and genetic algorithm Knowl.-Based Syst. 24 2011 1024 1032
    • (2011) Knowl.-Based Syst. , vol.24 , pp. 1024-1032
    • Uʇuz, H.1
  • 58
    • 77956611003 scopus 로고    scopus 로고
    • Mr2PSO: A maximum relevance minimum redundancy feature selection method based on swarm intelligence for support vector machine classification
    • A. Unler, A. Murat, and R.B. Chinnam Mr2PSO: a maximum relevance minimum redundancy feature selection method based on swarm intelligence for support vector machine classification Inform. Sci. 181 2011 4625 4641
    • (2011) Inform. Sci. , vol.181 , pp. 4625-4641
    • Unler, A.1    Murat, A.2    Chinnam, R.B.3
  • 60
    • 71549117600 scopus 로고    scopus 로고
    • Two cooperative ant colonies for feature selection using fuzzy models
    • S.M. Vieira, J.M.C. Sousa, and T.A. Runkler Two cooperative ant colonies for feature selection using fuzzy models Expert Syst. Appl. 37 2010 2714 2723
    • (2010) Expert Syst. Appl. , vol.37 , pp. 2714-2723
    • Vieira, S.M.1    Sousa, J.M.C.2    Runkler, T.A.3
  • 61
    • 84920525835 scopus 로고    scopus 로고
    • Unsupervised feature selection via maximum projection and minimum redundancy
    • S. Wang, W. Pedrycz, Q. Zhu, and W. Zhu Unsupervised feature selection via maximum projection and minimum redundancy Knowl.-Based Syst. 75 2015 19 29
    • (2015) Knowl.-Based Syst. , vol.75 , pp. 19-29
    • Wang, S.1    Pedrycz, W.2    Zhu, Q.3    Zhu, W.4
  • 62
    • 84922770862 scopus 로고    scopus 로고
    • Novel feature selection method based on harmony search for email classification
    • Y. Wang, Y. Liu, L. Feng, and X. Zhu Novel feature selection method based on harmony search for email classification Knowl.-Based Syst. 73 2015 311 323
    • (2015) Knowl.-Based Syst. , vol.73 , pp. 311-323
    • Wang, Y.1    Liu, Y.2    Feng, L.3    Zhu, X.4
  • 63
    • 78049529960 scopus 로고    scopus 로고
    • An improved genetic algorithm for optimal feature subset selection from multi-character feature set
    • Wenzhu Yang, Daoliang Li, and L. Zhu An improved genetic algorithm for optimal feature subset selection from multi-character feature set Expert Syst. Appl. 38 2011 2733 2740
    • (2011) Expert Syst. Appl. , vol.38 , pp. 2733-2740
    • Yang, W.1    Li, D.2    Zhu, L.3
  • 65
    • 84897113235 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 Appl. Soft Comput. 18 2014 261 276
    • (2014) Appl. Soft Comput. , vol.18 , pp. 261-276
    • Xue, B.1    Zhang, M.2    Browne, W.N.3
  • 66
    • 78049530575 scopus 로고    scopus 로고
    • Feature selection using genetic algorithm and cluster validation
    • Yi-Leh Wu, Cheng-Yuan Tang, Maw-Kae Hor, and P.-F. Wub Feature selection using genetic algorithm and cluster validation Expert Syst. Appl. 38 2011 2727 2732
    • (2011) Expert Syst. Appl. , vol.38 , pp. 2727-2732
    • Wu, Y.-L.1    Tang, C.-Y.2    Hor, M.-K.3    Wub, P.-F.4
  • 67
    • 84876724768 scopus 로고    scopus 로고
    • An ant colony optimization based dimension reduction method for high-dimensional datasets
    • Ying Li, Gang Wang, Huiling Chen, Lian Shi, and Lei Qin An ant colony optimization based dimension reduction method for high-dimensional datasets J. Bionic Eng. 10 2013 231 241
    • (2013) J. Bionic Eng. , vol.10 , pp. 231-241
    • Li, Y.1    Wang, G.2    Chen, H.3    Shi, L.4    Qin, L.5
  • 68
    • 77956343995 scopus 로고    scopus 로고
    • An improved ant colony optimization for the communication network routing problem
    • D. Zhao, L. Luo, and K. Zhang An improved ant colony optimization for the communication network routing problem Math. Comput. Model. 52 2010 1976 1981
    • (2010) Math. Comput. Model. , vol.52 , pp. 1976-1981
    • Zhao, D.1    Luo, L.2    Zhang, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.