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Volumn 1224, Issue , 1997, Pages 312-326

Global data analysis and the fragmentation problem in decision tree induction

Author keywords

[No Author keywords available]

Indexed keywords

DATA HANDLING; DECISION TREES; INFORMATION ANALYSIS; MACHINE LEARNING; NEONATAL MONITORING;

EID: 84947938951     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-62858-4_95     Document Type: Conference Paper
Times cited : (18)

References (28)
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    • Brodley C. E., Utgoff P. E.: Multivariate Decision Trees. Machine Learning, 19:1, (1995) 45-78
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    • Brodley, C.E.1    Utgoff, P.E.2
  • 4
    • 34249966007 scopus 로고
    • The CN2 Induction Algorithm
    • Clark P., Niblett T.: The CN2 Induction Algorithm. Machine Learning, 3:4, (1989) 261-284.
    • (1989) Machine Learning , vol.3 , Issue.4 , pp. 261-284
    • Clark, P.1    Niblett, T.2
  • 10
    • 85005299854 scopus 로고
    • The Multipurpose Incremental Learning System AQ15 and its Testing Application to Three Medical Domains
    • Michalsky R., et al.: The Multipurpose Incremental Learning System AQ15 and its Testing Application to Three Medical Domains. In Proceedings of the 5th National Conference on Artificial Intelligence, (1986) 1041-1045
    • (1986) In Proceedings of the 5Th National Conference on Artificial Intelligence , pp. 1041-1045
    • Michalsky, R.1
  • 12
    • 0025389210 scopus 로고
    • Boolean Feature Discovery in Empirical Learning
    • Pagallo G., Haussler D.: Boolean Feature Discovery in Empirical Learning. Machine Learning, 5:1, (1990) 71-99
    • (1990) Machine Learning, 5:1 , pp. 71-99
    • Pagallo, G.1    Haussler, D.2
  • 14
  • 19
    • 0001594860 scopus 로고
    • A General Framework for Induction and a Study of Selective Induction
    • Rendell L. A.: A General Framework for Induction and a Study of Selective Induction. Machine Learning, 1:2, (1986) 177-226
    • (1986) Machine Learning , vol.1 , Issue.2 , pp. 177-226
    • Rendell, L.A.1
  • 20
    • 0000686085 scopus 로고
    • Learning Hard Concepts through Constructive Induction: Framework and Rationale
    • Rendell L. A., Seshu R.: Learning Hard Concepts through Constructive Induction: Framework and Rationale. Computational Intelligence, 6, (1990) 247-270
    • (1990) Computational Intelligence , vol.6 , pp. 247-270
    • Rendell, L.A.1    Seshu, R.2
  • 21
    • 1442267080 scopus 로고
    • Learning Decision Lists
    • Rivest L. R.: Learning Decision Lists. Machine Learning, 2:3, (1987) 229-246
    • (1987) Machine Learning , vol.2 , Issue.3 , pp. 229-246
    • Rivest, L.R.1
  • 27
    • 0000835392 scopus 로고
    • OPUS: An Efficient Admissible Algorithm for Unordered Search
    • Webb G. I.: OPUS: An Efficient Admissible Algorithm for Unordered Search. Journal of Artificial Intelligence Research, 3 (1995), 431-465
    • (1995) Journal of Artificial Intelligence Research , vol.3 , pp. 431-465
    • Webb, G.I.1
  • 28
    • 0040452732 scopus 로고
    • Optimized Rule Induction
    • Weiss S., Indurkhya N.: Optimized Rule Induction. IEEE Expert, 8:6, (1993) 61-69
    • (1993) IEEE Expert , vol.8 , Issue.6 , pp. 61-69
    • Weiss, S.1    Indurkhya, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.