Prediction of Economic Situation of Small and Medium Enterprises Using Bayesian Network

  • Barbara Kuczmowska
  • Andrzej Burda
  • Zdzislaw S. Hippe
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 45)

Abstract

The structure of a belief network model for predicting the economic situation of small and medium enterprises in the Lubelskie and Podkarpackie provinces is discussed. The direction of further scientific research in order to improve performance of a belief network model is additionally presented.

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References

  1. 1.
    Heckerman D. (1995) A tutorial on Learning Bayesian Networks. Technical report MSR-R-95-06.Google Scholar
  2. 2.
    Sun L., Shenoy P.P. (2004) Using Bayesion Networks for Bankruptcy Prediction. School of Business, Working Paper No 295, University of Kansas.Google Scholar
  3. 3.
    Hippe Z.S., Grzymała-Busse J.W., Mroczek T. (2006) Belief Networks vs. Relief Rules: Basic Theory and Practical Issues. In: Zuba D., Parczewski A. (Eds.) Chemometrics. Methods and Applications. Institute of Forensic Research Publishers, Kraków, pp. 47–67.Google Scholar
  4. 4.
    Sarkar S., Sriram R.S. (2001) Management Science 47:1457–1475.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Barbara Kuczmowska
    • 1
  • Andrzej Burda
    • 1
  • Zdzislaw S. Hippe
    • 2
  1. 1.College of Management and Public Administration in ZamośćZamoscPoland
  2. 2.University of Information Technology and Management in RzeszowRzeszowPoland

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