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Case-Based Reasoning for Financial Prediction

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Innovations in Applied Artificial Intelligence (IEA/AIE 2005)

Abstract

A concept of financial prediction system is considered in this paper. By integrating multidimensional data technology (data warehouse, OLAP) and case-based reasoning, we are able to predict financial trends and provide enough data for business decision making. Methodology has been successfully used and tested in the management information system of “Novi Sad Fair”.

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References

  1. Kurbalija, V.: On Similarity of Curves – Project Report, Humboldt University, AI Lab, Berlin (2003)

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  2. Simić, D.: Financial Prediction and Decision Support System Based on Artificial Intelligence Technology, Ph.D. thesis, Univ. of Novi Sad (2004)

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  3. Simić, D., Kurbalija, V., Budimac, Z.: An Application of Case-Based Reasoning in Multidimensional Database Architecture. In: Kambayashi, Y., Mohania, M., Wöß, W. (eds.) DaWaK 2003. LNCS, vol. 2737, pp. 66–75. Springer, Heidelberg (2003)

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© 2005 Springer-Verlag Berlin Heidelberg

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Simić, D., Budimac, Z., Kurbalija, V., Ivanović, M. (2005). Case-Based Reasoning for Financial Prediction. In: Ali, M., Esposito, F. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2005. Lecture Notes in Computer Science(), vol 3533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504894_114

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  • DOI: https://doi.org/10.1007/11504894_114

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26551-1

  • Online ISBN: 978-3-540-31893-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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