A model to detect potentially fraudulent/abnormal wires of an insurance company : an unsupervised rule-based approach
Yongbum Kim; Miklos A. Vasarhelyi
| Year of publication: |
2012
|
|---|---|
| Authors: | Kim, Yongbum ; Vasarhelyi, Miklos A. |
| Published in: |
Journal of emerging technologies in Accounting. - Sarasota, Fla : American Accounting Association, ISSN 1554-1908, ZDB-ID 2416623-6. - Vol. 9.2012, p. 95-110
|
| Subject: | continuous auditing | continuous monitoring | anomaly detection | fraud detection | unsupervised learning | Versicherung | Insurance | Betrug | Fraud | Theorie | Theory | Jahresabschlussprüfung | Financial statement audit | Bilanzdelikt | Accounting fraud |
| Extent: | graph. Darst. |
|---|---|
| Type of publication: | Article |
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10009770859