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Volumn , Issue , 2001, Pages 41-44

An improved strategy for attribute reduction in rough set

Author keywords

Attribute reduction; Attribute significance; Heuristic algorithms; Rough set

Indexed keywords

ALGORITHMS; DATA REDUCTION; DIAGNOSIS; HEURISTIC PROGRAMMING; PATTERN RECOGNITION;

EID: 0035786243     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (8)
  • 4
    • 0001453883 scopus 로고    scopus 로고
    • Data enriching based on rough set theory
    • (In Chinese)
    • Wand Jue, Wang Ren, Miao Duoqian, et al.,Data Enriching based on Rough Set Theory, Chinese J. Computers, 1998, 21 (5): 393-399 (In Chinese)
    • (1998) Chinese J. Computers , vol.21 , Issue.5 , pp. 393-399
    • Wand, J.1    Wang, R.2    Miao, D.3
  • 5
    • 0022748282 scopus 로고
    • Comparison of rough-set and statistical methods in inductive learning
    • Wong S K M, Ziarko W, Li Ye R., Comparison of Rough-set and Statistical Methods in Inductive Learning, Int. J of Man-Machine Studies, 1986, 24:53-73
    • (1986) Int. J of Man-Machine Studies , vol.24 , pp. 53-73
    • Wong, S.K.M.1    Ziarko, W.2    Li Ye, R.3
  • 6
    • 0002589018 scopus 로고    scopus 로고
    • A heuristic algorithm for reduction of knowledge
    • (In Chinese)
    • Mioa DuoQian, Hu GuiRong, A Heuristic Algorithm for Reduction of Knowledge, J. of Computer Research and Development, 1999, 36 (6): 681-684 (In Chinese)
    • (1999) J. of Computer Research and Development , vol.36 , Issue.6 , pp. 681-684
    • Mioa, D.1    Hu, G.2
  • 8
    • 0003408496 scopus 로고    scopus 로고
    • Irvine, CA: University of California, Department of Information and Computer Science
    • Blake, C.L. & Merz, C.J. (2001). UCI Repository of machine learning databases, http://www.ics.uci.edu/∼mlearn/MLRepository.html, Irvine, CA: University of California, Department of Information and Computer Science.
    • (2001) UCI Repository of Machine Learning Databases
    • Blake, C.L.1    Merz, C.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.