Machine learning applications for accounting disclosure and fraud detection / 
Stylianos Papadakis [and four others]. 
 - 1 online resource (xxi, 270 pages) :  illustrations 
 - Advances in finance, accounting, and economics (AFAE) book series .
 - Advances in finance, accounting, and economics (AFAE) book series. .
<br/><br/> "Premier Reference Source" -- taken from front cover. 
<br/><br/>Includes bibliographical references and index. 
<br/><br/> "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"-- 
<br/><br/><label>ISBN: </label>9781799848066 179984806X 1799848051 9781799848059 1799857859 9781799857853 
<br/><br/><label>Standard No.: </label>10.4018/978-1-7998-4805-9  doi 
<br/><br/><label>LCCN: </label>2020018651 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Auditing, Internal--Data processing.<br/>Corporations--Accounting--Data processing.<br/>Fraud--Prevention.<br/>Machine learning.
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic books.
<br/><br/><label>LC Class. No.: </label>HF5668.25  / .M33 2021 
<br/><br/><label>Dewey Class. No.: </label>