메뉴 건너뛰기




Volumn 6576 LNCS, Issue , 2011, Pages 462-476

Multi-objective genetic algorithm evaluation in feature selection

Author keywords

feature importance measures; filter feature selection; multi objective genetic algorithms

Indexed keywords

FEATURE SELECTION; FEATURE SUBSET; FILTER ALGORITHM; FILTER APPROACH; IMPORTANCE MEASURE; MULTI-OBJECTIVE GENETIC ALGORITHM; PUBLIC DATA;

EID: 79953810166     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-19893-9_32     Document Type: Conference Paper
Times cited : (32)

References (44)
  • 5
    • 70349332954 scopus 로고    scopus 로고
    • A novel approach to the selection of spatially invariant features for the classification of hyperspectral images with improved generalization capability
    • Bruzzone, L., Persello, C.: A novel approach to the selection of spatially invariant features for the classification of hyperspectral images with improved generalization capability. IEEE Transactions on Geoscience and Remote Sensing 47, 3180-3191 (2009)
    • (2009) IEEE Transactions on Geoscience and Remote Sensing , vol.47 , pp. 3180-3191
    • Bruzzone, L.1    Persello, C.2
  • 9
    • 33644978280 scopus 로고    scopus 로고
    • Evolutionary multi-objective optimization: A historical view of the field
    • Coello, C.A.C.: Evolutionary multi-objective optimization: a historical view of the field. Computational Intelligence Magazine, 28-36 (2006)
    • (2006) Computational Intelligence Magazine , pp. 28-36
    • Coello, C.A.C.1
  • 12
    • 84947926042 scopus 로고    scopus 로고
    • A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: Nsga-ii
    • Schoenauer, M., Deb, K., Rudolph, G., Yao, X., Lutton, E., Merelo, J., Schwefel, H.P. (eds.) PPSN 2000. Springer, Heidelberg
    • Deb, K., Agrawal, S., Pratap, A., Meyarivan, T.: A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: Nsga-ii. In: Schoenauer, M., Deb, K., Rudolph, G., Yao, X., Lutton, E., Merelo, J., Schwefel, H.P. (eds.) PPSN 2000. LNCS, vol. 1917, pp. 849-858. Springer, Heidelberg (2000)
    • (2000) LNCS , vol.1917 , pp. 849-858
    • Deb, K.1    Agrawal, S.2    Pratap, A.3    Meyarivan, T.4
  • 13
    • 79952566418 scopus 로고    scopus 로고
    • An evolutionary method for combining different feature selection criteria in microarray data classification
    • Dessí N., Pes, B.: An evolutionary method for combining different feature selection criteria in microarray data classification. Journal of Artificial Evolution and Applications, 1-10 (2009)
    • (2009) Journal of Artificial Evolution and Applications , pp. 1-10
    • Dessí, N.1    Pes, B.2
  • 15
    • 85130928181 scopus 로고    scopus 로고
    • Unsupervised feature selection
    • Liu, H., Motoda, H. (eds.) Chapman & Hall/CRC
    • Dy, J.G.: Unsupervised feature selection. In: Liu, H., Motoda, H. (eds.) Computational Methods of Feature Selection, pp. 19-39. Chapman & Hall/CRC (2008)
    • (2008) Computational Methods of Feature Selection , pp. 19-39
    • Dy, J.G.1
  • 17
    • 85065703189 scopus 로고    scopus 로고
    • Correlation-based feature selection for discrete and numeric class machine learning
    • Hall, M.A.: Correlation-based feature selection for discrete and numeric class machine learning. In: International Conference on Machine Learning, pp. 359-366 (2000)
    • (2000) International Conference on Machine Learning , pp. 359-366
    • Hall, M.A.1
  • 23
    • 33751368162 scopus 로고    scopus 로고
    • A fractal dimension based filter algorithm to select features for supervised learning
    • Lee, H.D., Monard, M.C., Wu, F.C.: A fractal dimension based filter algorithm to select features for supervised learning. In: Advances in Artificial Intelligence, pp. 278-288 (2006)
    • (2006) Advances in Artificial Intelligence , pp. 278-288
    • Lee, H.D.1    Monard, M.C.2    Wu, F.C.3
  • 24
    • 0002715112 scopus 로고    scopus 로고
    • A probabilistic approach to feature selection - A filter solution
    • Liu, H., Setiono, R.: A probabilistic approach to feature selection - a filter solution. In: International Conference on Machine Learning, pp. 319-327 (1996)
    • (1996) International Conference on Machine Learning , pp. 319-327
    • Liu, H.1    Setiono, R.2
  • 26
    • 70349456508 scopus 로고    scopus 로고
    • A decision rule-based method for feature selection in predictive data mining
    • Lutu, P.E.N., Engelbrecht, A.P.: A decision rule-based method for feature selection in predictive data mining. Expert Systems with Applications 37(1), 602-609 (2010)
    • (2010) Expert Systems with Applications , vol.37 , Issue.1 , pp. 602-609
    • Lutu, P.E.N.1    Engelbrecht, A.P.2
  • 32
    • 27144463192 scopus 로고    scopus 로고
    • On comparing classifiers: Pitfalls to avoid and a recommended approach
    • Salzberg, S.L.: On comparing classifiers: Pitfalls to avoid and a recommended approach. Data Mining and Knowledge Discovery 1, 317-328 (1997)
    • (1997) Data Mining and Knowledge Discovery , vol.1 , pp. 317-328
    • Salzberg, S.L.1
  • 34
    • 33748619234 scopus 로고    scopus 로고
    • Applying genetic algorithm for classifying anomalous tcp/ip packets
    • Shon, T., Kovah, X., Moon, J.: Applying genetic algorithm for classifying anomalous tcp/ip packets. Neurocomputing 69, 2429-2433 (2006)
    • (2006) Neurocomputing , vol.69 , pp. 2429-2433
    • Shon, T.1    Kovah, X.2    Moon, J.3
  • 37
    • 58349092287 scopus 로고    scopus 로고
    • Evolutionary-based feature selection approaches with new criteria for data mining: A case study of credit approval data
    • Wang, C.M., Huang, Y.F.: Evolutionary-based feature selection approaches with new criteria for data mining: A case study of credit approval data. Expert Systems with Applications 36(3), 5900-5908 (2009)
    • (2009) Expert Systems with Applications , vol.36 , Issue.3 , pp. 5900-5908
    • Wang, C.M.1    Huang, Y.F.2
  • 43
    • 0001961313 scopus 로고
    • An introduction to multiobjetive optimization
    • Cochrane, J.L., Zeleny, M. (eds.) University of South Carolina Press
    • Zeleny, M.: An introduction to multiobjetive optimization. In: Cochrane, J.L., Zeleny, M. (eds.) Multiple Criteria Decision Making, pp. 262-301. University of South Carolina Press (1973)
    • (1973) Multiple Criteria Decision Making , pp. 262-301
    • Zeleny, M.1
  • 44
    • 58149302756 scopus 로고    scopus 로고
    • Feature selection using single/multi-objective memetic frameworks
    • Goh, C.K., Ong, Y.S., Tan, K.C. (eds.) Springer, Heidelberg
    • Zhu, Z., Ong, Y.S., Kuo, J.L.: Feature selection using single/multi-objective memetic frameworks. In: Goh, C.K., Ong, Y.S., Tan, K.C. (eds.) Multi-Objective Memetic Algorithms, pp. 111-131. Springer, Heidelberg (2009)
    • (2009) Multi-Objective Memetic Algorithms , pp. 111-131
    • Zhu, Z.1    Ong, Y.S.2    Kuo, J.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.