메뉴 건너뛰기




Volumn 15, Issue 3-4, 1998, Pages 287-294

A framework for the analysis of dynamic processes based on Bayesian networks and case-based reasoning

Author keywords

Bayesian networks; Case based reasoning; Ozone levels

Indexed keywords


EID: 0013225980     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0957-4174(98)00036-0     Document Type: Article
Times cited : (15)

References (25)
  • 1
    • 0028439541 scopus 로고
    • Estimation of the dominant degrees of freedom for air pollutant concentration data: Applications to ozone measurements
    • Biswas P., Li I. F., & Islam S. (1994). Estimation of the dominant degrees of freedom for air pollutant concentration data: applications to ozone measurements. Atmospheric Environment, 28 (9), 1707-1714.
    • (1994) Atmospheric Environment , vol.28 , Issue.9 , pp. 1707-1714
    • Biswas, P.1    Li, I.F.2    Islam, S.3
  • 3
    • 0029528238 scopus 로고
    • CART decision-tree statistical analysis and prediction of summer season maximum surface ozone for the Vancouver, Montreal and Atlantic regions of Canada
    • Burrows W. R., Benjamin M., Beauchamp S., & Thompson B. (1994). CART decision-tree statistical analysis and prediction of summer season maximum surface ozone for the Vancouver, Montreal and Atlantic regions of Canada. Journal of Applied Meteorology, 34, 1848-1862.
    • (1994) Journal of Applied Meteorology , vol.34 , pp. 1848-1862
    • Burrows, W.R.1    Benjamin, M.2    Beauchamp, S.3    Thompson, B.4
  • 4
    • 0025401005 scopus 로고
    • The computational complexity of probabilistic inference using Bayesian belief networks
    • Cooper G. (1990). The computational complexity of probabilistic inference using Bayesian belief networks. Artificial Intelligence, 42, 393-405.
    • (1990) Artificial Intelligence , vol.42 , pp. 393-405
    • Cooper, G.1
  • 5
    • 34249832377 scopus 로고
    • A Bayesian method for the induction of probabilistic networks from data
    • Cooper G., & Herskovitz E. (1992). A Bayesian method for the induction of probabilistic networks from data. Machine Learning, 9, 309-347.
    • (1992) Machine Learning , vol.9 , pp. 309-347
    • Cooper, G.1    Herskovitz, E.2
  • 7
    • 0346333686 scopus 로고
    • A theoretical framework for context-sensitive temporal probability model construction with application to plan projection
    • Montreal, Quebec: Morgan Kaufmann
    • Haddawy, P., Ngo, L., & Helwig, J. (1995). A theoretical framework for context-sensitive temporal probability model construction with application to plan projection. In Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (pp. 419-426). Montreal, Quebec: Morgan Kaufmann.
    • (1995) Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence , pp. 419-426
    • Haddawy, P.1    Ngo, L.2    Helwig, J.3
  • 9
    • 0348221709 scopus 로고    scopus 로고
    • MIDAS - An influence diagram for management of mildew in winter wheat
    • San Francisco, California: Morgan Kaufmann
    • Jensen, A. L., & Jensen, F. V. (1996). MIDAS - An influence diagram for management of mildew in winter wheat. In Proceedings of the Twelfth Conference on Uncertainty in AI (pp. 349-356). San Francisco, California: Morgan Kaufmann.
    • (1996) Proceedings of the Twelfth Conference on Uncertainty in AI , pp. 349-356
    • Jensen, A.L.1    Jensen, F.V.2
  • 13
    • 0028482006 scopus 로고
    • Learning Bayesian belief networks: An approach based on the MDL principle
    • Lam W., & Bacchus F. (1994). Learning Bayesian belief networks: An approach based on the MDL principle. Computational Intelligence, 10 (3), 269-293.
    • (1994) Computational Intelligence , vol.10 , Issue.3 , pp. 269-293
    • Lam, W.1    Bacchus, F.2
  • 14
    • 0001006209 scopus 로고
    • Local computations with probabilities on graphical structures and their applications to expert systems
    • Lauritzen S. L., & Spiegelhalter D. J. (1988). Local computations with probabilities on graphical structures and their applications to expert systems (with discussion). Journal of the Royal Statistical Society, Series B, 50 (2), 157-224.
    • (1988) Journal of the Royal Statistical Society, Series B , vol.50 , Issue.2 , pp. 157-224
    • Lauritzen, S.L.1    Spiegelhalter, D.J.2
  • 15
    • 0029659197 scopus 로고    scopus 로고
    • Use of Kriging models to predict 12-hour mean ozone concentrations in metropolitan Toronto - A pilot study
    • Liu L. J. S., & Rossini A. J. (1996). Use of Kriging models to predict 12-hour mean ozone concentrations in metropolitan Toronto - a pilot study. Environmental International, 22, 677-692.
    • (1996) Environmental International , vol.22 , pp. 677-692
    • Liu, L.J.S.1    Rossini, A.J.2
  • 21
    • 0030303191 scopus 로고    scopus 로고
    • On the nature of air pollution dynamics in Mexico City - I. Nonlinear Analysis
    • Raga G. B., & Le Moyne L. (1996). On the nature of air pollution dynamics in Mexico City - I. Nonlinear Analysis. Atmospheric Environment, 30 (23), 3987-3993.
    • (1996) Atmospheric Environment , vol.30 , Issue.23 , pp. 3987-3993
    • Raga, G.B.1    Le Moyne, L.2
  • 23
    • 0021068304 scopus 로고
    • Forecasting peak ozone levels
    • Simpson R. W. (1983). Forecasting peak ozone levels. Atmospheric Environment, 17 (9), 1649-1654.
    • (1983) Atmospheric Environment , vol.17 , Issue.9 , pp. 1649-1654
    • Simpson, R.W.1
  • 25
    • 0030476772 scopus 로고    scopus 로고
    • A neural network model forecasting for prediction of daily maximum ozone concentration in an industrialised urban area
    • Yi J., & Prybutok V. R. (1996). A neural network model forecasting for prediction of daily maximum ozone concentration in an industrialised urban area. Environmental Pollution, 92 (3), 349-357.
    • (1996) Environmental Pollution , vol.92 , Issue.3 , pp. 349-357
    • Yi, J.1    Prybutok, V.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.