Machine learning applications for accounting disclosure and fraud detection

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

"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:	Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global
Subject:	Künstliche Intelligenz \| Artificial intelligence \| Bilanzdelikt \| Accounting fraud \| Datenverarbeitung \| Data processing \| Prävention \| Prevention \| Betrug \| Fraud
Description of contents:	Table of Contents [gbv.de]

Extent:	1 Online-Ressource(22 PDFs (270 pages))
Type of publication:	Book / Working Paper
Language:	English
Notes:	Includes bibliographical references and index. - Description based on title screen (IGI Global, viewed 12/19/2020) Mode of access: World Wide Web.
ISBN:	978-1-7998-4806-6 ; 1-7998-4806-X ; 978-1-7998-5785-3 ; 978-1-7998-4805-9
Other identifiers:	10.4018/978-1-7998-4805-9 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012668719