A data-driven explainable case-based reasoning approach for financial risk detection-Reference-Cited by-同舟云学术

A data-driven explainable case-based reasoning approach for financial risk detection

Published:2022-09-28 Issue:12 Volume:22 Page:2257-2274
ISSN:1469-7688
Container-title:Quantitative Finance
language:en
Short-container-title:Quantitative Finance

Author:

Li Wei¹²³^ORCID,Paraschiv Florentina³⁴,Sermpinis Georgios⁵

Affiliation:

1. Institute of Operations Research and Analytics, National University of Singapore, 117576 Singapore, Singapore

2. Blockchain Research Center, Humboldt-Universitat zu Berlin, Unter den Linden 6, 10099 Berlin, Germany

3. NTNU Business School, Norwegian University of Science and Technology, 7491 Trondheim, Norway

4. Chair of Finance, Zeppelin University, Seemooser Horn 20, 88045 Friedrichshafen, Germany

5. Adam Smith Business School, University of Glasgow, Glasgow G12 8QQ, UK

Publisher

Informa UK Limited

Subject

General Economics, Econometrics and Finance,Finance

Link

https://www.tandfonline.com/doi/pdf/10.1080/14697688.2022.2118071

Reference77 articles.

1. Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches

2. Aamodt, A., Sandtorv, H.A. and Winnem, O.M., Combining case based reasoning and data mining – a way of revealing and reusing rams experience. In Safety and Reliability; Proceedings of ESREL '98, edited by S. Lydersen, G.K. Hansen, H. Sandtorv, pp. 16–19, 1998 (Balkena: Rotterdam).

3. Neural nets versus conventional techniques in credit scoring in Egyptian banking

4. Bankruptcy prediction modeling with hybrid case-based reasoning and genetic algorithms approach

5. An Investigation of Credit Card Default Prediction in the Imbalanced Datasets

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