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Volumn 1, Issue 1, 1997, Pages 79-119

Bayesian networks for data mining

Author keywords

Bayesian networks; Bayesian statistics; Causal discovery; Classification; Clustering; Learning; Missing data; Regression

Indexed keywords


EID: 4344578226     PISSN: 13845810     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1009730122752     Document Type: Article
Times cited : (562)

References (3)
  • 1
    • 0010635904 scopus 로고
    • An evaluation of an algorithm for inductive learning of Bayesian belief networks using simulated data sets
    • Seattle, WA: Morgan Kaufmann
    • Aliferis, C. and Cooper, G. 1994. An evaluation of an algorithm for inductive learning of Bayesian belief networks using simulated data sets. In Proceedings of Tenth Conference on Uncertainty in Artificial Intelligence. Seattle, WA: Morgan Kaufmann, pp. 8-14.
    • (1994) Roceedings of Tenth Conference on Uncertainty in Artificial Intelligence , pp. 8-14
    • Aliferis, C.1    Cooper, G.2
  • 2
    • 0001244539 scopus 로고
    • Model search in contingency tables by CoCo
    • Y. Dodge and J. Wittaker (Eds.). Physica Verlag, Heidelberg
    • Badsberg, J. 1992. Model search in contingency tables by CoCo. In Computational Statistics, Y. Dodge and J. Wittaker (Eds.). Physica Verlag, Heidelberg, pp. 251-256.
    • (1992) Computational Statistics , pp. 251-256
    • Badsberg, J.1
  • 3
    • 0002906163 scopus 로고
    • Improving the convergence of back-propagation learning with second order methods
    • Morgan Kaufmann
    • Becker, S. and LeCun, Y. 1989. Improving the convergence of back-propagation learning with second order methods. In Proceedings of the 1988 Connectionist Models Summer School, Morgan Kaufmann, pp. 29-37.
    • (1989) Proceedings of the 1988 Connectionist Models Summer School , pp. 29-37
    • Becker, S.1    LeCun, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.