Appropriate machine learning techniques for credit scoring and bankruptcy prediction in banking and finance: A comparative study-Reference-Cited by-同舟云学术

Appropriate machine learning techniques for credit scoring and bankruptcy prediction in banking and finance: A comparative study

Published:2020-05-08 Issue:1-2 Volume:8 Page:15-24
ISSN:1569-7371
Container-title:Risk and Decision Analysis
language:
Short-container-title:RDA

Author:

Boughaci Dalila¹,Alkhawaldeh Abdullah A. K.²

Affiliation:

1. LRIA/Computer Science Department, University of Sciences and Technology Houari Boumediene, , , , Algeria E-mails: dalila_info@yahoo.fr, dboughaci@usthb.dz

2. , , The Hashemite University, , Jordan E-mail: alkwaldhh@yahoo.com

Publisher

IOS Press

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Finance,Statistics and Probability

Reference27 articles.

1. Credit scoring, statistical techniques and evaluation criteria: A review of the literature;Abdou;Intelligent Systems in Accounting, Finance and Management,2011

2. Genetic programming for credit scoring: The case of Egyptian public sector banks;Abdou;Expert Systems with Applications,2009

3. Improving experimental studies about ensembles of classifiers for bankruptcy prediction and credit scoring;Abellan;Expert Systems with Applications,2014

4. Support vector machines for credit scoring and discovery of significant features;Bellotti;Expert Systems with Applications,2009

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