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Volumn , Issue , 1996, Pages 96-101

Linear-Time Rule Induction

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING SYSTEMS; NASA; SPACE SHUTTLES;

EID: 0343580747     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (17)
  • 2
    • 0003460351 scopus 로고
    • Ph.D. Dissertation, Basser Department of Computer Science, University of Sydney, Sydney, Australia
    • Catlett, J. 1991. Megamductton: Machine Learning on Very Large Databases. Ph.D. Dissertation, Basser Department of Computer Science, University of Sydney, Sydney, Australia.
    • (1991) Megamductton: Machine Learning on Very Large Databases
    • Catlett, J.1
  • 10
    • 0027580356 scopus 로고
    • Very simple classification rules perform well on most commonly used datasets
    • Holte, R. C. 1993. Very simple classification rules perform well on most commonly used datasets. Machine Learning 11:63-91.
    • (1993) Machine Learning , vol.11 , pp. 63-91
    • Holte, R. C.1
  • 12
    • 0003408496 scopus 로고
    • Machine-readable data repository, Department of Information and Computer Science, University of California at Irvine, Irvine, CA
    • Murphy, P. M., and Aha, D. W. 1995. UCI repository of machine learning databases. Machine-readable data repository, Department of Information and Computer Science, University of California at Irvine, Irvine, CA.
    • (1995) UCI repository of machine learning databases
    • Murphy, P. M.1    Aha, D. W.2
  • 16
    • 77952642202 scopus 로고
    • Incremental induction of decision trees
    • Utgoff, P. E. 1989. Incremental induction of decision trees. Machine Learning 4:161-186.
    • (1989) Machine Learning , vol.4 , pp. 161-186
    • Utgoff, P. E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.