Outlier detection in auditing : integrating unsupervised learning within a multilevel framework for general ledger analysis
Danyang Wei, Soohyun Cho, Miklos A. Vasarhelyi, Liam Te-Wierik
| Year of publication: |
2024
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| Authors: | Wei, Danyang ; Cho, Soohyun ; Vasarhelyi, Miklos A. ; Te-Wierik, Liam |
| Published in: |
Journal of information systems : a publication of the Accounting Information Systems Section of the American Accounting Associaton. - Sarasota, Fla. : [Verlag nicht ermittelbar], ISSN 0888-7985, ZDB-ID 1176427-2. - Vol. 38.2024, 2, p. 123-142
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| Subject: | outlier detection | auditing | data analytics | machine learning | unsupervised learning | general ledgers | Künstliche Intelligenz | Artificial intelligence | Wirtschaftsprüfung | Financial audit | Theorie | Theory | Lernprozess | Learning process | Lernen | Learning |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.2308/ISYS-2022-026 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014633223