Machine Learning Applications for Accounting Disclosure and Fraud Detection

Language: English

Published by Business Science Reference, 2020

1799848051 / 9781799848059

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The prediction of the valuation of the "quality" of firm accounting disclosure is an emerging economic problem that has not been adequately analyzed in the relevant economic literature. While there are a plethora of machine learning methods and algorithms that have been implemented in recent years in the field of economics that aim at creating predictive models for detecting business failure, only a small amount of literature is provided towards the prediction of the "actual" financial performance of the business activity. Machine Learning Applications for Accounting Disclosure and Fraud Detection is a crucial reference work that uses machine learning techniques in accounting disclosure and identifies methodological aspects revealing the deployment of fraudulent behavior and fraud detection in the corporate environment. The book applies machine learning models to identify "quality" characteristics in corporate accounting disclosure, proposing specific tools for detecting core business fraud characteristics. Covering topics that include data mining; fraud governance, detection, and prevention; and internal auditing, this book is essential for accountants, auditors, managers, fraud detection experts, forensic accountants, financial accountants, IT specialists, corporate finance experts, business analysts, academicians, researchers, and students. Sprache: Englisch Gewicht in Gramm: 936.…

Title
Machine Learning Applications for Accounting Disclosure and Fraud Detection
Publisher
Business Science Reference
Publication year
2020
Condition
Neu
Binding
Gebundene Ausgabe
Language
English
ISBN 10
1799848051
ISBN 13
9781799848059
Item weight
936 grams

Home-set

Mannheim, Germany

5-star seller

AbeBooks seller since April 13, 2026

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Home-set

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