메뉴 건너뛰기




Volumn 10, Issue 2, 2013, Pages 231-241

An Ant Colony Optimization Based Dimension Reduction Method for High-Dimensional Datasets

Author keywords

Ant colony optimization; Feature selection; Gene selection; High dimensional data

Indexed keywords

CLASSIFICATION ACCURACY; DIMENSION REDUCTION METHOD; DIMENSION REDUCTION TECHNIQUES; FUZZY LOGIC CONTROLLERS; GENE SELECTION; HIGH DIMENSIONAL DATA; HIGH DIMENSIONAL SPACES; IMPROVED ANT COLONY SYSTEMS;

EID: 84876724768     PISSN: 16726529     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1672-6529(13)60219-X     Document Type: Article
Times cited : (62)

References (52)
  • 1
    • 35748932917 scopus 로고    scopus 로고
    • A review of feature selection techniques in bioinformatics
    • Saeys Y, Inza I, Larra aga P A review of feature selection techniques in bioinformatics. Bioinformatics 2007, 23:2507-2517.
    • (2007) Bioinformatics , vol.23 , pp. 2507-2517
    • Saeys, Y.1    Inza, I.2    Larra aga, P.3
  • 3
    • 80755168406 scopus 로고    scopus 로고
    • Discovering relational-based association rules with multiple minimum supports on microarray datasets
    • Liu YC, Cheng CP, Tseng VS Discovering relational-based association rules with multiple minimum supports on microarray datasets. Bioinformatics 2011, 27:3142-3148.
    • (2011) Bioinformatics , vol.27 , pp. 3142-3148
    • Liu, Y.C.1    Cheng, C.P.2    Tseng, V.S.3
  • 4
    • 44949224555 scopus 로고    scopus 로고
    • Clustering approaches to identifying gene expression patterns from DNA microarray data
    • Do JH, Choi DK Clustering approaches to identifying gene expression patterns from DNA microarray data. Molecules and Cells 2008, 25:279-288.
    • (2008) Molecules and Cells , vol.25 , pp. 279-288
    • Do, J.H.1    Choi, D.K.2
  • 8
    • 60249087028 scopus 로고    scopus 로고
    • Different metaheuristic strategies to solve the feature selection problem
    • Yusta SC Different metaheuristic strategies to solve the feature selection problem. Pattern Recognition Letters 2009, 30:525-534.
    • (2009) Pattern Recognition Letters , vol.30 , pp. 525-534
    • Yusta, S.C.1
  • 9
    • 84055217653 scopus 로고    scopus 로고
    • Prediction of Lysine Ubiquitylation with Ensemble Classifier and Feature Selection
    • Zhao X, Li X, Ma Z, Yin M Prediction of Lysine Ubiquitylation with Ensemble Classifier and Feature Selection. International Journal of Molecular Sciences 2011, 12:8347-8361.
    • (2011) International Journal of Molecular Sciences , vol.12 , pp. 8347-8361
    • Zhao, X.1    Li, X.2    Ma, Z.3    Yin, M.4
  • 12
    • 79958252965 scopus 로고    scopus 로고
    • An improved particle swarm optimization for feature selection
    • Liu Y, Wang G, Chen H An improved particle swarm optimization for feature selection. Journal of Bionic Engineering 2011, 8:191-200.
    • (2011) Journal of Bionic Engineering , vol.8 , pp. 191-200
    • Liu, Y.1    Wang, G.2    Chen, H.3
  • 15
    • 0031122887 scopus 로고    scopus 로고
    • Ant Colony system: A cooperative learning approach to the traveling salesman problem
    • Dorigo M, Gambardella LM Ant Colony system: A cooperative learning approach to the traveling salesman problem. IEEE Transactions on Evolutionary Computation 1997, 1:53-66.
    • (1997) IEEE Transactions on Evolutionary Computation , vol.1 , pp. 53-66
    • Dorigo, M.1    Gambardella, L.M.2
  • 17
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Guyon I, Weston J, Barnhill S, Vapnik V Gene selection for cancer classification using support vector machines. Machine Learning 2002, 46:389-422.
    • (2002) Machine Learning , vol.46 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 19
    • 3543058847 scopus 로고    scopus 로고
    • Mining mass-spectra for diagnosis and biomarker discovery of cerebral accidents
    • Prados J, Alousis A, Anchez J, Allard L, Carrette O, Hilario M Mining mass-spectra for diagnosis and biomarker discovery of cerebral accidents. Proteomics 2004, 4:2320-2332.
    • (2004) Proteomics , vol.4 , pp. 2320-2332
    • Prados, J.1    Alousis, A.2    Anchez, J.3    Allard, L.4    Carrette, O.5    Hilario, M.6
  • 21
    • 18344396961 scopus 로고    scopus 로고
    • An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers
    • Ball G, Mian S, Holding F, Allibone R, Lowe J, Ali S, Li G, McCardle S, Ellis I, Creaser C, Rees R An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers. Bioinformatics 2002, 18:395-404.
    • (2002) Bioinformatics , vol.18 , pp. 395-404
    • Ball, G.1    Mian, S.2    Holding, F.3    Allibone, R.4    Lowe, J.5    Ali, S.6    Li, G.7    McCardle, S.8    Ellis, I.9    Creaser, C.10    Rees, R.11
  • 24
    • 80053570146 scopus 로고    scopus 로고
    • A novel ensemble algorithm for biomedical classification based on ant colony optimization
    • Shi L, Xi L, Ma XM, Weng M, Hu XH A novel ensemble algorithm for biomedical classification based on ant colony optimization. Applied Soft Computing 2011, 11:5674-5683.
    • (2011) Applied Soft Computing , vol.11 , pp. 5674-5683
    • Shi, L.1    Xi, L.2    Ma, X.M.3    Weng, M.4    Hu, X.H.5
  • 28
    • 43249111682 scopus 로고    scopus 로고
    • An efficient ant colony optimization approach to attribute reduction in rough set theory
    • Ke LJ, Feng ZR, Ren ZG An efficient ant colony optimization approach to attribute reduction in rough set theory. Pattern Recognition Letters 2008, 29:1351-1357.
    • (2008) Pattern Recognition Letters , vol.29 , pp. 1351-1357
    • Ke, L.J.1    Feng, Z.R.2    Ren, Z.G.3
  • 29
    • 76749153275 scopus 로고    scopus 로고
    • A modified ant colony optimization algorithm for tumor marker gene selection
    • Yu H, Gu G, Liu H, Shen J, Zhao J A modified ant colony optimization algorithm for tumor marker gene selection. Genomics Proteomics & Bioinformatics 2009, 7:200-208.
    • (2009) Genomics Proteomics & Bioinformatics , vol.7 , pp. 200-208
    • Yu, H.1    Gu, G.2    Liu, H.3    Shen, J.4    Zhao, J.5
  • 30
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modeling and control
    • Takagi T, Sugeno M Fuzzy identification of systems and its applications to modeling and control. IEEE Transactions on Systems, Man, and Cybernetics 1985, 15:116-132.
    • (1985) IEEE Transactions on Systems, Man, and Cybernetics , vol.15 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 32
    • 79955993372 scopus 로고    scopus 로고
    • Combination of feature selection approaches with SVM in credit scoring
    • Chen YW, Lin CJ Combination of feature selection approaches with SVM in credit scoring. Expert Systems with Applications 2006, 37:315-324.
    • (2006) Expert Systems with Applications , vol.37 , pp. 315-324
    • Chen, Y.W.1    Lin, C.J.2
  • 35
    • 27644543634 scopus 로고    scopus 로고
    • Ant colony optimization theory: A survey
    • Dorigo M, Blum C Ant colony optimization theory: A survey. Theoretical Computer Science 2005, 344:243-278.
    • (2005) Theoretical Computer Science , vol.344 , pp. 243-278
    • Dorigo, M.1    Blum, C.2
  • 36
    • 4544280107 scopus 로고    scopus 로고
    • An ant colony optimization algorithm for the redundancy allocation problem
    • Liang YC, Smith AE An ant colony optimization algorithm for the redundancy allocation problem. IEEE Transactions on Reliability 2004, 53:417-423.
    • (2004) IEEE Transactions on Reliability , vol.53 , pp. 417-423
    • Liang, Y.C.1    Smith, A.E.2
  • 37
    • 84867753124 scopus 로고    scopus 로고
    • An opposition-based differential evolution algorithm for permutation flow shop scheduling based on diversity measure
    • Li X, Yin M An opposition-based differential evolution algorithm for permutation flow shop scheduling based on diversity measure. Advances in Engineering Software 2013, 55:10-31.
    • (2013) Advances in Engineering Software , vol.55 , pp. 10-31
    • Li, X.1    Yin, M.2
  • 38
    • 0031272412 scopus 로고    scopus 로고
    • A multi-level composite heuristic for the multi-depot vehicle fleet mix problem
    • Salhi S, Sari M A multi-level composite heuristic for the multi-depot vehicle fleet mix problem. European Journal for Operations Research 1997, 103:95-112.
    • (1997) European Journal for Operations Research , vol.103 , pp. 95-112
    • Salhi, S.1    Sari, M.2
  • 39
    • 0036682205 scopus 로고    scopus 로고
    • Comparing an ACO algorithm with other heuristics for the single machine scheduling problem with sequence-dependent setup times
    • Gagné C, Price WL, Gravel M Comparing an ACO algorithm with other heuristics for the single machine scheduling problem with sequence-dependent setup times. Journal of the Operational Research Society 2002, 53:895-906.
    • (2002) Journal of the Operational Research Society , vol.53 , pp. 895-906
    • Gagné, C.1    Price, W.L.2    Gravel, M.3
  • 42
    • 79151473975 scopus 로고    scopus 로고
    • Using support vector machines with a novel hybrid feature selection method for diagnosis of erythemato-squamous diseases
    • Xie JY, Wang CX Using support vector machines with a novel hybrid feature selection method for diagnosis of erythemato-squamous diseases. Expert Systems with Applications 2011, 38:5809-5815.
    • (2011) Expert Systems with Applications , vol.38 , pp. 5809-5815
    • Xie, J.Y.1    Wang, C.X.2
  • 43
    • 27144463192 scopus 로고    scopus 로고
    • On comparing classifiers: Pitfalls to avoid and a recommended approach
    • Salzberg SL On comparing classifiers: Pitfalls to avoid and a recommended approach. Data Mining and Knowledge Discovery 1997, 1:317-328.
    • (1997) Data Mining and Knowledge Discovery , vol.1 , pp. 317-328
    • Salzberg, S.L.1
  • 44
    • 0033569406 scopus 로고    scopus 로고
    • Classification of cancer: class discovery and class prediction by gene expression monitoring
    • Golub T, Slonim D, Tamayo P Classification of cancer: class discovery and class prediction by gene expression monitoring. Science 1999, 28:531-537.
    • (1999) Science , vol.28 , pp. 531-537
    • Golub, T.1    Slonim, D.2    Tamayo, P.3
  • 45
    • 0033692876 scopus 로고    scopus 로고
    • Tissue classification with gene expression profiles
    • Ben-Dor A, Bruhn L Tissue classification with gene expression profiles. Journal of Computational Biology 2000, 7:559-584.
    • (2000) Journal of Computational Biology , vol.7 , pp. 559-584
    • Ben-Dor, A.1    Bruhn, L.2
  • 47
    • 0035923521 scopus 로고    scopus 로고
    • Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses
    • Bhattacharjee A, Richards W Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses. Proceedings of the National Academy of Sciences 2001, 98:13790-13795.
    • (2001) Proceedings of the National Academy of Sciences , vol.98 , pp. 13790-13795
    • Bhattacharjee, A.1    Richards, W.2
  • 48
    • 0037381008 scopus 로고    scopus 로고
    • Gene expression-based classification of malignant gliomas correlates better with survival than histological classification
    • Nutt CL, Mani DR Gene expression-based classification of malignant gliomas correlates better with survival than histological classification. Cancer Research 2003, 63:1602-1607.
    • (2003) Cancer Research , vol.63 , pp. 1602-1607
    • Nutt, C.L.1    Mani, D.R.2
  • 49
    • 80051475044 scopus 로고    scopus 로고
    • A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method
    • Chen H, Yang B, Wang G A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method. Knowledge-Based Systems 2011, 24:1348-1359.
    • (2011) Knowledge-Based Systems , vol.24 , pp. 1348-1359
    • Chen, H.1    Yang, B.2    Wang, G.3
  • 50
    • 79955625471 scopus 로고    scopus 로고
    • A new hybrid method based on local fisher discriminant analysis and support vector machines for hepatitis disease diagnosis
    • Chen H, Liu D A new hybrid method based on local fisher discriminant analysis and support vector machines for hepatitis disease diagnosis. Expert Systems with Applications 2011, 38:11796-11803.
    • (2011) Expert Systems with Applications , vol.38 , pp. 11796-11803
    • Chen, H.1    Liu, D.2
  • 51
    • 0031269184 scopus 로고    scopus 로고
    • On the optimality of the simple Bayesian classifier under zero-one loss
    • Pedro D, Pazzani M On the optimality of the simple Bayesian classifier under zero-one loss. Machine Learning 1997, 29:103-137.
    • (1997) Machine Learning , vol.29 , pp. 103-137
    • Pedro, D.1    Pazzani, M.2
  • 52
    • 0000868331 scopus 로고
    • Induction of fuzzy decision trees
    • Yuan Y, Shaw MJ Induction of fuzzy decision trees. Fuzzy Sets and Systems 1995, 69:125-139.
    • (1995) Fuzzy Sets and Systems , vol.69 , pp. 125-139
    • Yuan, Y.1    Shaw, M.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.