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Volumn 2583, Issue , 2003, Pages 149-165

RSD: Relational subgroup discovery through first-order feature construction

Author keywords

[No Author keywords available]

Indexed keywords

NEONATAL MONITORING;

EID: 7044269070     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36468-4_10     Document Type: Conference Paper
Times cited : (37)

References (23)
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    • 1942515438 scopus 로고    scopus 로고
    • Propositionalization approaches to relational data mining
    • S. Džeroski and N. Lavrač, editors, Springer
    • S. Kramer, N. Lavrač and P.A. Flach. Propositionalization approaches to relational data mining. In S. Džeroski and N. Lavrač, editors, Relational Data Mining, 262-291. Springer, 2001.
    • (2001) Relational Data Mining , pp. 262-291
    • Kramer, S.1    Lavrač, N.2    Flach, P.A.3
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    • 85008021624 scopus 로고    scopus 로고
    • An extended transformation approach to Inductive Logic Programming
    • N. Lavrač and P. Flach. An extended transformation approach to Inductive Logic Programming. ACM Transactions on Computational Logic 2(4): 458-494, 2001.
    • (2001) ACM Transactions on Computational Logic , vol.2 , Issue.4 , pp. 458-494
    • Lavrač, N.1    Flach, P.2
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    • A study of relevance for learning in deductive databases
    • August/ September
    • N. Lavrač, D. Gamberger, and V. Jovanoski. (1999). A study of relevance for learning in deductive databases. Journal of Logic Programming 40, 2/3 (August/ September), 215-249.
    • (1999) Journal of Logic Programming , vol.40 , Issue.2-3 , pp. 215-249
    • Lavrač, N.1    Gamberger, D.2    Jovanoski, V.3
  • 16
    • 85005299854 scopus 로고
    • The multi-purpose incremental learning system AQ15 and its testing application on three medical domains
    • Morgan Kaufmann
    • R.S. Michalski, I. Mozetič, J. Hong, and N. Lavrač. The multi-purpose incremental learning system AQ15 and its testing application on three medical domains. In Proc. 5th National Conference on Artificial Intelligence, 1041-1045. Morgan Kaufmann, 1986.
    • (1986) Proc. 5th National Conference on Artificial Intelligence , pp. 1041-1045
    • Michalski, R.S.1    Mozetič, I.2    Hong, J.3    Lavrač, N.4
  • 18
    • 0035283313 scopus 로고    scopus 로고
    • Robust classification for imprecise environments
    • F. Provost and T. Fawcett. Robust classification for imprecise environments. Machine Learning, 42(3), 203-231, 2001.
    • (2001) Machine Learning , vol.42 , Issue.3 , pp. 203-231
    • Provost, F.1    Fawcett, T.2
  • 19
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    • Learning Logical definitions from relationa
    • J.R. Quinlan. Learning Logical definitions from relationa. Machine Learning, 5(3): 239-266, 1990.
    • (1990) Machine Learning , vol.5 , Issue.3 , pp. 239-266
    • Quinlan, J.R.1
  • 20
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    • Learning decision lists
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    • Rivest, R.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.