Bio-inspired intelligence for credit scoring
by Yorgos Goletsis, Themis P. Exarchos, Christos D. Katsis
International Journal of Financial Markets and Derivatives (IJFMD), Vol. 2, No. 1/2, 2011

Abstract: The application of quantitative techniques for the determination of credit worthiness, i.e., the credit scoring, is a major research field for bankers and academics as it can bring about significant savings to finance institutions whilst minimising their exposure to risk. In the current work, the applicability of recent developments in machine learning techniques is examined; specifically biologically inspired techniques mimicking natural ants, bird flocking and immune system cells are applied. Experimental results are presented on three real world credit scoring datasets. Comparative results with commonly used artificial intelligence and statistical classifiers verify the suitability of the newly examined methods.

Online publication date: Sat, 28-Feb-2015

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