Machine learning approach to identify performance audit topics for different government sectors
Alaa Aljanaby, Ahmad Abdel-Hafez, Yue Xu, Tim Rose
| Year of publication: |
2024
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|---|---|
| Authors: | Aljanaby, Alaa ; Abdel-Hafez, Ahmad ; Xu, Yue ; Rose, Tim |
| Published in: |
International journal of accounting, auditing and performance evaluation : IJAAPE. - Olney, Bucks. : Inderscience Enterprises, ISSN 1740-8016, ZDB-ID 2170811-3. - Vol. 20.2024, 3/4, p. 437-451
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| Subject: | audit office | audit topics | machine learning | performance audit | text mining | topic filtering | topic modelling | topic ranking | Künstliche Intelligenz | Artificial intelligence | Wirtschaftsprüfung | Financial audit | Performance-Messung | Performance measurement | Data Mining | Data mining |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1504/IJAAPE.2024.138481 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014545210