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Volumn 9, Issue , 2006, Pages 197-212

Rough set strategies to data with missing attribute values

Author keywords

Data mining; incomplete data; missing attribute values; rough set theory

Indexed keywords


EID: 78049305676     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/11539827-11     Document Type: Conference Paper
Times cited : (30)

References (18)
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  • 10
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    • Rules in incomplete information systems
    • Kryszkiewicz, M.: Rules in incomplete information systems. Information Sciences 113(1999) 271-292.
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    • Kryszkiewicz, M.1
  • 15
    • 0035414869 scopus 로고    scopus 로고
    • Incomplete information tables and rough classification
    • Stefanowski, J. and Tsoukias, A.: Incomplete information tables and rough classification. Computational Intelligence 17(2001) 545-566.
    • (2001) Computational Intelligence , vol.17 , pp. 545-566
    • Stefanowski, J.1    Tsoukias, A.2
  • 16
    • 0001375356 scopus 로고    scopus 로고
    • Two views of the theory of rough sets in finite universes
    • Yao, Y. Y.: Two views of the theory of rough sets in finite universes. International J. of Approximate Reasoning 15(1996) 291-317.
    • (1996) International J. of Approximate Reasoning , vol.15 , pp. 291-317
    • Yao, Y.Y.1
  • 17
    • 0032204205 scopus 로고    scopus 로고
    • Relational interpretations of neighborhood operators and rough set approximation operators
    • Yao, Y. Y.: Relational interpretations of neighborhood operators and rough set approximation operators. Information Sciences 111(1998) 239-259.
    • (1998) Information Sciences , vol.111 , pp. 239-259
    • Yao, Y.Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.