
Machine Learning Applications for Accounting Disclosure and Fraud Detection
Business Science Reference (Publisher)
Published on 2. October 2020
Book
Paperback/Softback
270 pages
978-1-7998-5785-3 (ISBN)
Description
"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"--
More details
Language
English
Place of publication
Hershey
United States
Publishing group
IGI Global
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 280 mm
Width: 216 mm
Thickness: 16 mm
Weight
760 gr
ISBN-13
978-1-7998-5785-3 (9781799857853)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Stylianos Papadakis | Alexandros Garefalakis | Christos Lemonakis
Machine Learning Applications for Accounting Disclosure and Fraud Detection
Book
10/2020
Business Science Reference
€256.00
Shipment within 10-20 days