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Improving credit scoring by differentiating defaulter behaviour

Published:2015-05 Issue:5 Volume:66 Page:771-781
ISSN:0160-5682
Container-title:Journal of the Operational Research Society
language:en
Short-container-title:Journal of the Operational Research Society

Author:

Bravo Cristián¹²,Thomas Lyn C³,Weber Richard²

Affiliation:

1. Departamento de Modelamiento y Gestión Industrial, Universidad de Talca Curicó Chile

2. Department of Industrial EngineeringUniversidad de Chile Santiago Chile

3. Southampton School of Management, University of Southampton Highfield Southampton UK

Publisher

Informa UK Limited

Subject

Marketing,Management Science and Operations Research,Strategy and Management,Management Information Systems

Link

http://link.springer.com/content/pdf/10.1057/jors.2014.50.pdf

Reference28 articles.

1. Benchmarking state-of-the-art classification algorithms for credit scoring

2. Neural network survival analysis for personal loan data

3. Large-scale constrained clustering for rationalizing pickup and delivery operations

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4. On the combination of graph data for assessing thin-file borrowers’ creditworthiness;Expert Systems with Applications;2023-03

5. A New Machine Learning Method for Bank Credit Risk Analysis;WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS;2022-05-20

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