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Volumn 85, Issue 1-4, 2008, Pages 549-561

Greedy algorithm for attribute reduction

Author keywords

greedy algorithm; partial decision rules; partial reducts; Partial tests

Indexed keywords

ATTRIBUTE REDUCTION; DECISION RULES; GREEDY ALGORITHMS; PARTIAL REDUCTS; PARTIAL TESTS;

EID: 79960907687     PISSN: 01692968     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (22)
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    • Moshkov, M.J.1
  • 8
    • 84958040404 scopus 로고    scopus 로고
    • Approximate reducts and association rules-correspondence and complexity results
    • Data Mining, and Granular-Soft Computing. Yamaguchi, Japan. Lecture Notes in Artificial Intelligence 1711, Springer-Verlag
    • Nguyen, H.S., Slezak, D.: Approximate reducts and association rules-correspondence and complexity results. In: Proceedings of the Seventh International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing. Yamaguchi, Japan. Lecture Notes in Artificial Intelligence 1711, Springer-Verlag (1999) 137-145.
    • (1999) Proceedings of the Seventh International Workshop on Rough Sets, Fuzzy Sets , pp. 137-145
    • Nguyen, H.S.1    Slezak, D.2
  • 12
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    • A sub-constant error-probability low-degree test, and sub-constant error-probability PCP characterization of NP
    • Raz, R., Safra, S.: A sub-constant error-probability low-degree test, and sub-constant error-probability PCP characterization of NP. In: Proceedings of 29th Annual ACM Symposium on the Theory of Computing (1997) 475-484.
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    • Raz, R.1    Safra, S.2
  • 14
    • 0002395767 scopus 로고
    • The discernibility matrices and functions in information systems
    • In: Slowinski, -R. (Ed.)., Intelligent Decision Support.. Kluwer Academic Publishers, Dordrecht, Boston, London
    • Skowron, A., Rauszer, C.: The discernibility matrices and functions in information systems. In: Slowinski, -R. (Ed.), Intelligent Decision Support. Handbook of Applications and Advances of the Rough Set Theory. Kluwer Academic Publishers, Dordrecht, Boston, London (1992) 331-362.
    • (1992) Handbook of Applications and Advances of the Rough Set Theory , pp. 331-362
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  • 18
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    • Normalized decision functions and measures for inconsistent decision tables analysis
    • Slezak, D.: Normalized decision functions and measures for inconsistent decision tables analysis. Fundamenta Informaticae 44 (2000) 291-319.
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    • Slezak, D.1
  • 19
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    • Approximate entropy reducts
    • Slezak, D.: Approximate entropy reducts. Fundamenta Informaticae 53 (2002) 365-390.
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  • 20
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    • Order Based Genetic Algorithms for the Search of Approximate Entropy Reducts
    • Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
    • Slezak, D., Wroblewski, J.: Order-based genetic algorithms for the search of approximate entropy reducts. In: Proceedings of the International Conference Rough Sets, Fuzzy Sets, DataMining, and Granular Computing. Chongqing, China. Lecture Notes in Artificial Intelligence 2639, Springer-Verlag (2003) 308-311. (Pubitemid 36657973)
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  • 21
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    • Ensembles of classifiers based on approximate reducts
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.