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A Data Mining Approach to Credit Risk Evaluation and Behaviour Scoring

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2902))

Abstract

Behaviour scoring is used in several companies to score the customers according to credit risk by analyzing historical data about their past behaviour. In this paper we describe a data mining approach to credit risk evaluation in a Portuguese telecommunication company.

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References

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© 2003 Springer-Verlag Berlin Heidelberg

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Madeira, S.C., Oliveira, A.L., Conceição, C.S. (2003). A Data Mining Approach to Credit Risk Evaluation and Behaviour Scoring. In: Pires, F.M., Abreu, S. (eds) Progress in Artificial Intelligence. EPIA 2003. Lecture Notes in Computer Science(), vol 2902. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24580-3_25

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  • DOI: https://doi.org/10.1007/978-3-540-24580-3_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20589-0

  • Online ISBN: 978-3-540-24580-3

  • eBook Packages: Springer Book Archive

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