Machine learning applications for accounting disclosure and fraud detection

Stylianos Papadakis, Alexandros Garefalakis, Christos Lemonakis, Christiana Chimonaki, Constantin Zopounidis

"This book covers the application of machine learning models to identify "quality" characteristics in corporate accounting disclosure, proposing specific tools for detecting core business fraud characteristics. It uses machine learning techniques in accounting disclosure (i.e. corporate financial statements) and identifies methodological aspects revealing the deployment of fraudulent behavior and fraud detection in the corporate environment"--

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Year of publication:	[2021]
Other Persons:	Papadakis, Stylianos (ed.) ; Garefalakis, Alexandros (ed.) ; Lemonakis, Christos (ed.) ; Chimonaki, Christiana (ed.) ; Zopounidis, Constantin (ed.)
Publisher:	[2021]: Hershey, PA, USA : Business Science Reference
Subject:	Bilanzdelikt \| Accounting fraud \| Prävention \| Prevention \| Datenverarbeitung \| Data processing \| Künstliche Intelligenz \| Artificial intelligence
Description of contents:	Table of Contents [gbv.de]
Published items:	15 hits in ECONIS - Online Catalogue of the ZBW

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Machine learning applications for accounting disclosure and fraud detection. - Hershey, PA : Business Science Reference, [2021]

Persistent link: https://www.econbiz.de/10012227925