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Volumn 1, Issue , 2007, Pages 121-126

A novel Bayesian Network structure learning algorithm based on minimal correlated itemset mining techniques

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; INFORMATION MANAGEMENT; LEARNING SYSTEMS;

EID: 50149117803     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDIM.2007.4444211     Document Type: Conference Paper
Times cited : (2)

References (9)
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    • 29344455317 scopus 로고    scopus 로고
    • L. E. Brown, I. Tsamardinos, and C. F. Aliferis. A comparison of novel and state-of-the-art polynomial bayesian network learning algorithms. In In the Proceedings of the Twentieth National Conference on Artificial Intelligence AAAI, pages 739-745, 2005.
    • L. E. Brown, I. Tsamardinos, and C. F. Aliferis. A comparison of novel and state-of-the-art polynomial bayesian network learning algorithms. In In the Proceedings of the Twentieth National Conference on Artificial Intelligence AAAI, pages 739-745, 2005.
  • 2
    • 0036567524 scopus 로고    scopus 로고
    • Learning bayesian networks from data: An information-theory based approach
    • J. Cheng, R. Greiner, J. Kelly, D. A. Bell, and W. Liu. Learning bayesian networks from data: An information-theory based approach. Artif. Intell., 137(1-2):43-90, 2002.
    • (2002) Artif. Intell , vol.137 , Issue.1-2 , pp. 43-90
    • Cheng, J.1    Greiner, R.2    Kelly, J.3    Bell, D.A.4    Liu, W.5
  • 3
    • 33646830385 scopus 로고    scopus 로고
    • Robust independence testing for constraint-based learning of causal structure
    • D. Dash and M. J. Druzdzel. Robust independence testing for constraint-based learning of causal structure. In UAI, pages 167-174, 2003.
    • (2003) UAI , pp. 167-174
    • Dash, D.1    Druzdzel, M.J.2
  • 4
    • 85012708436 scopus 로고
    • d-separation: From theorems to algorithms
    • D. Geiger, T. Verma, and J. Pearl. d-separation: From theorems to algorithms. In UAI, pages 139-148, 1989.
    • (1989) UAI , pp. 139-148
    • Geiger, D.1    Verma, T.2    Pearl, J.3
  • 5
    • 50149085993 scopus 로고    scopus 로고
    • K. P. Murphy. The bayes net toolbox for MATLAB
    • K. P. Murphy. The bayes net toolbox for MATLAB.
  • 7
    • 43549092567 scopus 로고    scopus 로고
    • Beyond market baskets: Generalizing association rules to correlations
    • C. Silverstein, S. Brin, R. Motwani, and J. D. Ullman. Beyond market baskets: Generalizing association rules to correlations. In VLDB, pages 594-605, 1998.
    • (1998) VLDB , pp. 594-605
    • Silverstein, C.1    Brin, S.2    Motwani, R.3    Ullman, J.D.4
  • 8
    • 33746035971 scopus 로고    scopus 로고
    • The max-min hill-climbing bayesian network structure learning algorithm
    • I. Tsamardinos, L. E. Brown, and C. F. Aliferis. The max-min hill-climbing bayesian network structure learning algorithm. Machine Learning, 65(1):31-78, 2006.
    • (2006) Machine Learning , vol.65 , Issue.1 , pp. 31-78
    • Tsamardinos, I.1    Brown, L.E.2    Aliferis, C.F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.