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Five Decision Support Applications

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Data Mining and Decision Support

Abstract

This chapter presents five real-life applications of decision support methods and techniques, conducted within the SolEuNet Project. The problem areas were: (1) The selection of banks for the Slovenian National Housing Program, (2) Housing loan allocation, (3) diabetic foot risk assessment, (4) model development for the selection of information technology providers, and (5) the evaluation of research project proposals. The approach was based primarily on qualitative multi-attribute modeling, and was combined with databases and other general modeling methods. The bank selection case is presented in detail whereas the remaining four applications are presented quantitatively.

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References

  • Bohanec, M., Cestnik, B. and Rajkovič, V. (1998). Evaluation models for housing loanallocation in the context of floats, In (eds. Berkeley, D., Widmeyer, G. R., Brezillon, P. and Rajkovič, V.), Context sensitive decision support systems, 174–189, Chapman & Hall.

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  • Bohanec, M., Zupan, B. and Rajkovič, V. (2000). Applications of qualitative multi-attribute decision models in health care, International Journal of Medical Informatics, Vol. 58–59, 191–205.

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  • Cestnik, B. and Bohanec, M. (2001). Decision support in housing loan allocation: A case study. Proc. ECML/PKDD-2001 Workshop Integrating Aspects of Data Mining, Decision Support and Meta-Learning (IDDM-2001). (eds. Giraud-Carrier, C., Lavrač, N., Moyle, S. A. and Kavšek, B.), Freiburg, Germany, 21–30.

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© 2003 Springer Science+Business Media New York

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Bohanec, M., Rajkovič, V., Cestnik, B. (2003). Five Decision Support Applications. In: Mladenić, D., Lavrač, N., Bohanec, M., Moyle, S. (eds) Data Mining and Decision Support. The Springer International Series in Engineering and Computer Science, vol 745. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0286-9_15

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  • DOI: https://doi.org/10.1007/978-1-4615-0286-9_15

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5004-0

  • Online ISBN: 978-1-4615-0286-9

  • eBook Packages: Springer Book Archive

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