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

  • Conference paper
Computer Recognition Systems 2

Part of the book series: Advances in Soft Computing ((AINSC,volume 45))

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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. Heckerman D. (1995) A tutorial on Learning Bayesian Networks. Technical report MSR-R-95-06.

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  2. Sun L., Shenoy P.P. (2004) Using Bayesion Networks for Bankruptcy Prediction. School of Business, Working Paper No 295, University of Kansas.

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  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.

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  4. Sarkar S., Sriram R.S. (2001) Management Science 47:1457–1475.

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Author information

Authors and Affiliations

  1. College of Management and Public Administration in Zamość, Akademicka 4, 22-400, Zamosc, Poland

    Barbara Kuczmowska & Andrzej Burda

  2. University of Information Technology and Management in Rzeszow, Sucharskiego 2, 35-225, Rzeszow, Poland

    Zdzislaw S. Hippe

Authors
  1. Barbara Kuczmowska
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  2. Andrzej Burda
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  3. Zdzislaw S. Hippe
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Editor information

Editors and Affiliations

  1. Faculty of Electronics, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Marek Kurzynski , Edward Puchala , Michal Wozniak  & Andrzej Zolnierek , ,  & 

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© 2007 Springer-Verlag Berlin Heidelberg

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Kuczmowska, B., Burda, A., Hippe, Z.S. (2007). Prediction of Economic Situation of Small and Medium Enterprises Using Bayesian Network. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds) Computer Recognition Systems 2. Advances in Soft Computing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75175-5_99

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  • DOI: https://doi.org/10.1007/978-3-540-75175-5_99

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75174-8

  • Online ISBN: 978-3-540-75175-5

  • eBook Packages: EngineeringEngineering (R0)

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