Predicting accounting fraud using imbalanced ensemble learning classifiers : evidence from China
Md Jahidur Rahman, Hongtao Zhu
| Year of publication: |
2023
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|---|---|
| Authors: | Rahman, Md Jahidur ; Zhu, Hongtao |
| Published in: |
Accounting and finance. - Melbourne : Wiley-Blackwell, ISSN 1467-629X, ZDB-ID 1482438-3. - Vol. 63.2023, 3, p. 3455-3486
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| Subject: | Accounting fraud detection | Artificial intelligence | China A-share | CUSBoost | Ensemble learning algorithms | Machine learning | RUSBoost | Künstliche Intelligenz | China | Bilanzdelikt | Accounting fraud | Algorithmus | Algorithm | Betrug | Fraud | Lernprozess | Learning process | Neuronale Netze | Neural networks | Rechnungswesen | Accounting |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1111/acfi.13044 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014375341