Inductive Learning for Risk Classification

Authors:
Michael J. Shaw;James A. Gentry
Affiliations:
-;-
Venue:
IEEE Expert: Intelligent Systems and Their Applications
Year:
1990

Citing 7
Cited 10

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Application of support vector machines to corporate credit rating prediction

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On preprocessing data for financial credit risk evaluation

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Data Mining using Advanced Ant Colony Optimization Algorithm and Application to Bankruptcy Prediction

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Abstract

The authors discuss the application of inductive learning to credit risk analysis. Three risk classification problems are addressed: business loan evaluation, bond rating, and bankruptcy prediction. The use of a system called Marble, a knowledge-based decision-support system that uses approximately 80 decision rules to evaluate commercial loans, is discussed. In particular, an aspect of Marble that uses inductive learning to classify financial risks is described, and the effectiveness of the technique is discussed.