Abstract
The concept of the new hybrid method for debt portfolio repayment prediction has been presented and examined. The method provides functionality for repayment value prediction over time that describes the recovery profile of the debt portfolio. Experimental studies on hybrid combination of various data mining methods like clustering and decision trees into one complex process revealed usefulness of the proposed method for claim appraisals.
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Kajdanowicz, T., Kazienko, P. (2009). Hybrid Repayment Prediction for Debt Portfolio. In: Nguyen, N.T., Kowalczyk, R., Chen, SM. (eds) Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems. ICCCI 2009. Lecture Notes in Computer Science(), vol 5796. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04441-0_74
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DOI: https://doi.org/10.1007/978-3-642-04441-0_74
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