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Machine learning applications for accounting disclosure and fraud detection /

"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. corpora...

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Bibliographic Details
Group Author: Papadakis, Stylianos, 1970- (Editor); Garefelakis, Alexander (Editor); Lemonakis, Christos (Editor); Chimonaki, Christiana (Editor); Zopounidis, Constantin. (Editor)
Published: IGI Global Publisher of Timely Knowledge,
Publisher Address: Hershey, PA :
Publication Dates: [2021]
Literature type: Book
Language: English
Series: Advances in finance, accounting, and economics (AFAE) book series,
Subjects:
Auditing, Internal > Data processing.
Corporations > Accounting > Data processing.
Fraud > Prevention.
Machine learning.
Corporations > Data processing. > Data processing.
Summary: "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"--
Carrier Form: xxi, 270 pages : illustrations ; 29 cm.
Bibliography: Includes bibliographical references and index.
ISBN: 9781799848059
1799848051
9781799857853
1799857859
Index Number: HF5668
CLC: F239.1
Call Number: F239.1/M149

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