메뉴 건너뛰기




Volumn 100, Issue 1-4, 2010, Pages 99-116

A local version of the MLEM2 algorithm for rule induction

Author keywords

[No Author keywords available]

Indexed keywords

LERS DATA MINING SYSTEM; LOCAL VERSIONS; LOWER AND UPPER APPROXIMATIONS; RULE INDUCTION; WILCOXON TEST;

EID: 77955946056     PISSN: 01692968     EISSN: None     Source Type: Journal    
DOI: 10.3233/FI-2010-265     Document Type: Article
Times cited : (36)

References (27)
  • 5
    • 0000864105 scopus 로고    scopus 로고
    • Global discretization of continuous attributes as preprocessing for machine learning
    • Chmielewski, M. R., Grzymala-Busse, J. W.: Global discretization of continuous attributes as preprocessing for machine learning, International Journal of Approximate Reasoning, 15(4), 1996, 319-331.
    • (1996) International Journal of Approximate Reasoning , vol.15 , Issue.4 , pp. 319-331
    • Chmielewski, M.R.1    Grzymala-Busse, J.W.2
  • 7
    • 0003024008 scopus 로고
    • On the handling of continuous-valued attributes in decision tree generation
    • Fayyad, U. M., Irani, K. B.: On the handling of continuous-valued attributes in decision tree generation, Machine Learning, 8, 1992, 87-102.
    • (1992) Machine Learning , vol.8 , pp. 87-102
    • Fayyad, U.M.1    Irani, K.B.2
  • 8
    • 77955945776 scopus 로고    scopus 로고
    • Local and global approximations for incomplete data
    • Grzymala-Busse, J. W., , Rzasa, W.: Local and global approximations for incomplete data, Transactions on Rough Sets, 8, 2008, 21-34.
    • (2008) Transactions on Rough Sets , vol.8 , pp. 21-34
    • Grzymala-Busse, J.W.1    Rzasa, W.2
  • 9
    • 0002135094 scopus 로고
    • LERS-A system for learning from examples based on rough sets, in: Intelligent Decision Support
    • (R. Slowinski, Ed.), Kluwer Academic Publishers, Dordrecht, Boston, London
    • Grzymala-Busse, J. W.: LERS-A system for learning from examples based on rough sets, in: Intelligent Decision Support. Handbook of Applications and Advances of the Rough Set Theory (R. Slowinski, Ed.), Kluwer Academic Publishers, Dordrecht, Boston, London, 1992, 3-18.
    • (1992) Handbook of Applications and Advances of the Rough Set Theory , pp. 3-18
    • Grzymala-Busse, J.W.1
  • 11
    • 0031189666 scopus 로고    scopus 로고
    • A new version of the rule induction system LERS
    • Grzymala-Busse, J. W.: A new version of the rule induction system LERS, Fundamenta Informaticae, 31, 1997, 27-39.
    • (1997) Fundamenta Informaticae , vol.31 , pp. 27-39
    • Grzymala-Busse, J.W.1
  • 18
    • 76249088689 scopus 로고    scopus 로고
    • Approximation space and LEM2-like algorithms for computing local coverings
    • Grzymala-Busse, J. W., Rzasa, W.: Approximation space and LEM2-like algorithms for computing local coverings, Fundamenta Informaticae, 85, 2008, 1-13.
    • (2008) Fundamenta Informaticae , vol.85 , pp. 1-13
    • Grzymala-Busse, J.W.1    Rzasa, W.2
  • 22
    • 0033079944 scopus 로고    scopus 로고
    • Rules in incomplete information systems
    • Kryszkiewicz, M.: Rules in incomplete information systems, Information Sciences, 113(3-4), 1999, 271-292.
    • (1999) Information Sciences , vol.113 , Issue.3-4 , pp. 271-292
    • Kryszkiewicz, M.1
  • 27
    • 0035414869 scopus 로고    scopus 로고
    • Incomplete information tables and rough classification
    • Stefanowski, J., Tsoukias, A.: Incomplete information tables and rough classification, Computational Intelligence, 17(3), 2001, 545-566.
    • (2001) Computational Intelligence , vol.17 , Issue.3 , pp. 545-566
    • Stefanowski, J.1    Tsoukias, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.