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Volumn 21, Issue 2, 2006, Pages 173-191

An introduction of the condition class space with continuous value discretization and rough set theory

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SOFTWARE; DECISION THEORY; INFORMATION SCIENCE; LEARNING ALGORITHMS; LEARNING SYSTEMS;

EID: 32644442306     PISSN: 08848173     EISSN: None     Source Type: Journal    
DOI: 10.1002/int.20126     Document Type: Article
Times cited : (1)

References (18)
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    • A comparison of dynamic and non-dynamic rough sets methods for extracting laws from decision tables
    • Polkowski L, Skowron A, editors. New York: Physica-Verlag
    • Bazan TG. A comparison of dynamic and non-dynamic rough sets methods for extracting laws from decision tables. In: Polkowski L, Skowron A, editors. Rough sets in knowledge discovery 1: Methodology and applications. New York: Physica-Verlag; 1998. pp 451-482.
    • (1998) Rough Sets in Knowledge Discovery 1: Methodology and Applications , pp. 451-482
    • Bazan, T.G.1
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    • Discretization problem for rough sets methods
    • Polkowski L, Skowron A, editors. Rough sets and current trends in computing. Warsaw, Poland
    • Nguyen HS. Discretization problem for rough sets methods. In: Polkowski L, Skowron A, editors. Rough sets and current trends in computing. Proc First Int Conf RSCTC'98, Warsaw, Poland; 1998. pp 545-552.
    • (1998) Proc First Int Conf RSCTC'98 , pp. 545-552
    • Nguyen, H.S.1
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    • Supervised and unsupervised discretization of continuous features
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    • Dougherty J, Kohavi R, Sahami M. Supervised and unsupervised discretization of continuous features. In: Proc 12th Int Conf on Machine Learning, Tahoe City. San Francisco: Kaufmann; 1995. pp 194-202.
    • (1995) Proc 12th Int Conf on Machine Learning , pp. 194-202
    • Dougherty, J.1    Kohavi, R.2    Sahami, M.3
  • 10
    • 0030079092 scopus 로고    scopus 로고
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    • Liu H, Setiono R. Dimensionality reduction via discretization. Knowl Base Syst 1996;9:67-72.
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    • Liu, H.1    Setiono, R.2
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    • Variable precision rough set theory and data discretisation: An application to corporate failure prediction
    • Beynon MJ, Peel MJ. Variable precision rough set theory and data discretisation: An application to corporate failure prediction. Omega 2001;29:561-576.
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    • Beynon, M.J.1    Peel, M.J.2
  • 12
    • 0000864105 scopus 로고    scopus 로고
    • Global discretization of continuous attributes as preprocessing for machine learning
    • Chmielewski M, Grzymala-Busse L. Global discretization of continuous attributes as preprocessing for machine learning. Int J Approx Reas 1996;15:319-331.
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    • Stability of continuous value discretisation: An application within rough set theory
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.