Machine learning applications for accounting disclosure and fraud detection / Stylianos Papadakis [and four others].
Contributor(s): Papadakis, Stylianos [editor.]
Language: English Series: Advances in finance, accounting, and economics (AFAE) book series: Publisher: Hershey, PA : Business Science Reference, an imprint of IGI Global, [2021]Description: 1 online resource (xxi, 270 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9781799848066; 179984806X; 1799848051; 9781799848059; 1799857859; 9781799857853Subject(s): Auditing, Internal -- Data processing | Corporations -- Accounting -- Data processing | Fraud -- Prevention | Machine learningGenre/Form: Electronic books.DDC classification: LOC classification: HF5668.25 | .M33 2021Online resources: Full text is avaiable at EBSCOhost. Click here to view. 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"-- Provided by publisher.| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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COLLEGE LIBRARY | COLLEGE LIBRARY | Available |
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"Premier Reference Source" -- taken from front cover.
Includes bibliographical references and index.
"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"-- Provided by publisher.
Description based on online resource; title from digital title page (viewed on February 05, 2021).
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