Finding needles in a haystack : using data analytics to improve fraud prediction
Johan L. Perols, Robert M. Bowen, Carsten Zimmermann, Basamba Samba
| Year of publication: |
March 2017
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| Authors: | Perols, Johan L. ; Bowen, Robert M. ; Zimmermann, Carsten ; Samba, Basamba |
| Published in: |
The accounting review : a publication of the American Accounting Association. - Lakewood Ranch, FL : American Accounting Association, ISSN 0001-4826, ZDB-ID 210224-9. - Vol. 92.2017, 2, p. 221-245
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| Subject: | fraud | financial statement fraud | data analytics | predictive analytics | data rarity | data imbalance | Bilanzdelikt | Accounting fraud | Data Mining | Data mining | Betrug | Fraud | Data Analytics | Data analytics | Prognoseverfahren | Forecasting model | Big Data | Big data | Wirtschaftsprüfung | Financial audit |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.2308/accr-51562 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011674087