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Volumn 7301 LNAI, Issue PART 2, 2012, Pages 304-321

Selecting feature subset via constraint association rules

Author keywords

association rule; feature interaction; Feature subset selection

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION RESULTS; DATA SETS; FEATURE INTERACTIONS; FEATURE SELECTION ALGORITHM; FEATURE SUBSET; FEATURE SUBSET SELECTION; FEATURE VALUES; INTERACTIVE FEATURES; NAIVE BAYES; REAL WORLD DATA; REDUNDANT FEATURES; SYNTHETIC DATASETS; TARGET CONCEPT;

EID: 84861420949     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-30220-6_26     Document Type: Conference Paper
Times cited : (5)

References (29)
  • 2
    • 33749543645 scopus 로고    scopus 로고
    • A new approach to classification based on association rule mining
    • Chen, G., Liu, H., Yu, L., Wei, Q., Zhang, X.: A new approach to classification based on association rule mining. Decision Support Systems 42(2), 674-689 (2006)
    • (2006) Decision Support Systems , vol.42 , Issue.2 , pp. 674-689
    • Chen, G.1    Liu, H.2    Yu, L.3    Wei, Q.4    Zhang, X.5
  • 3
    • 0013326060 scopus 로고    scopus 로고
    • Feature selection for classification
    • Dash, M., Liu, H.: Feature selection for classification. Intelligent Data Analysis 1(3), 131-156 (1997)
    • (1997) Intelligent Data Analysis , vol.1 , Issue.3 , pp. 131-156
    • Dash, M.1    Liu, H.2
  • 4
    • 0242302657 scopus 로고    scopus 로고
    • Consistency-based search in feature selection
    • Dash, M., Liu, H.: Consistency-based search in feature selection. Artificial Intelligence 151(1-2), 155-176 (2003)
    • (2003) Artificial Intelligence , vol.151 , Issue.1-2 , pp. 155-176
    • Dash, M.1    Liu, H.2
  • 5
    • 33645690579 scopus 로고    scopus 로고
    • Fast binary feature selection with conditional mutual information
    • Fleuret, F.: Fast binary feature selection with conditional mutual information. Journal of Machine Learning Research 5, 1531-1555 (2004)
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 1531-1555
    • Fleuret, F.1
  • 7
    • 68949155378 scopus 로고    scopus 로고
    • Feature subset selection in large dimensionality domains
    • Gheyas, I.A., Smith, L.S.: Feature subset selection in large dimensionality domains. Pattern Recognition 43(1), 5-13 (2010)
    • (2010) Pattern Recognition , vol.43 , Issue.1 , pp. 5-13
    • Gheyas, I.A.1    Smith, L.S.2
  • 9
    • 85065703189 scopus 로고    scopus 로고
    • Correlation-based feature selection for discrete and numeric class machine learning
    • Morgan Kaufmann Publishers Inc.
    • Hall, M.A.: Correlation-based feature selection for discrete and numeric class machine learning. In: Proceedings of the Seventeenth International Conference on Machine Learning, pp. 359-366. Morgan Kaufmann Publishers Inc. (2000)
    • (2000) Proceedings of the Seventeenth International Conference on Machine Learning , pp. 359-366
    • Hall, M.A.1
  • 10
    • 11344262990 scopus 로고    scopus 로고
    • CPAR: Classification based on predictive association rules
    • Society for Industrial & Applied
    • Han, J.: CPAR: Classification based on predictive association rules. In: Proceedings of the Third SIAM International Conference on Data Mining, vol. 3, pp. 331-335. Society for Industrial & Applied (2003)
    • (2003) Proceedings of the Third SIAM International Conference on Data Mining , vol.3 , pp. 331-335
    • Han, J.1
  • 11
    • 2442449952 scopus 로고    scopus 로고
    • Mining frequent patterns without candidate generation: A frequent-pattern tree approach
    • Han, J., Pei, J., Yin, Y., Mao, R.: Mining frequent patterns without candidate generation: A frequent-pattern tree approach. Data Mining and Knowledge Discovery 8(1), 53-87 (2004)
    • (2004) Data Mining and Knowledge Discovery , vol.8 , Issue.1 , pp. 53-87
    • Han, J.1    Pei, J.2    Yin, Y.3    Mao, R.4
  • 16
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • Kohavi, R., John, G.H.: Wrappers for feature subset selection. Artificial Intelligence 97(1-2), 273-324 (1997)
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 18
    • 84992726552 scopus 로고
    • Estimating Attributes: Analysis and Extensions of RELIEF
    • Bergadano, F., De Raedt, L. (eds.) ECML 1994. Springer, Heidelberg
    • Kononenko, I.: Estimating Attributes: Analysis and Extensions of RELIEF. In: Bergadano, F., De Raedt, L. (eds.) ECML 1994. LNCS, vol. 784, pp. 171-182. Springer, Heidelberg (1994)
    • (1994) LNCS , vol.784 , pp. 171-182
    • Kononenko, I.1
  • 19
    • 78149313084 scopus 로고    scopus 로고
    • CMAR: Accurate and efficient classification based on multiple class-association rules
    • IEEE Computer Society
    • Li, W., Han, J., Pei, J.: CMAR: Accurate and efficient classification based on multiple class-association rules. In: Proceedings of IEEE International Conference on Data Mining, pp. 369-376. IEEE Computer Society (2001)
    • (2001) Proceedings of IEEE International Conference on Data Mining , pp. 369-376
    • Li, W.1    Han, J.2    Pei, J.3
  • 27
    • 1942451938 scopus 로고    scopus 로고
    • Feature selection for high-dimensional data: A fast correlation-based filter solution
    • Yu, L., Liu, H.: Feature selection for high-dimensional data: A fast correlation-based filter solution. In: Proceedings of 20th International Conference on Machine Leaning, vol. 20, pp. 856-863 (2003)
    • (2003) Proceedings of 20th International Conference on Machine Leaning , vol.20 , pp. 856-863
    • Yu, L.1    Liu, H.2
  • 28
    • 25144492516 scopus 로고    scopus 로고
    • Efficient feature selection via analysis of relevance and redundancy
    • Yu, L., Liu, H.: Efficient feature selection via analysis of relevance and redundancy. Journal of Machine Learning Research 5, 1205-1224 (2004)
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 1205-1224
    • Yu, L.1    Liu, H.2
  • 29
    • 65449184542 scopus 로고    scopus 로고
    • Searching for interacting features in subset selection
    • Zhao, Z., Liu, H.: Searching for interacting features in subset selection. Intelligent Data Analysis 13(2), 207-228 (2009)
    • (2009) Intelligent Data Analysis , vol.13 , Issue.2 , pp. 207-228
    • Zhao, Z.1    Liu, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.