Data mining-based financial statement fraud detection : systematic literature review and meta-analysis to estimate data sample mapping of fraudulent companies against non-fraudulent companies
Sonika Gupta and Sushil Kumar Mehta
| Year of publication: |
2024
|
|---|---|
| Authors: | Gupta, Sonika ; Mehta, Sushil Kumar |
| Published in: |
Global business review. - New Delhi [u.a.] : SAGE Publ., ISSN 0973-0664, ZDB-ID 2211884-6. - Vol. 25.2024, 5, p. 1290-1313
|
| Subject: | Classification accuracy | data mining | data sample mapping scheme | financial statement frauds | machine learning approaches | statistical approaches | Bilanzdelikt | Accounting fraud | Data Mining | Data mining | Klassifikation | Classification | Stichprobenerhebung | Sampling | Meta-Analyse | Meta-analysis | Bibliometrie | Bibliometrics | Künstliche Intelligenz | Artificial intelligence | Betrug | Fraud | Wirtschaftsprüfung | Financial audit |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1177/0972150920984857 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015163094