Machine learning applications for accounting disclosure and fraud detection / edited by Stylianos Papadakis [and three others].

Format:

Book

Contributor:

Papadakis, Stylianos, 1970- editor.

Language:

English

Subjects (All):

Auditing, Internal--Data processing.

Auditing, Internal.

Physical Description:

22 PDFs (270 pages)

Place of Publication:

Hershey, Pennsylvania : IGI Global, [2021]

System Details:

Mode of access: World Wide Web.

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.

Contents:

Chapter 1. Corporate governance as a tool for fraud mitigation

Chapter 2. Corporate sector fraud: challenges and safety

Chapter 3. Corporate governance: introduction, roles, codes of corporate governance

Chapter 4. Fraud governance and good practices against fraud

Chapter 5. Theoretical analysis of creative accounting: fraud in financial statements

Chapter 6. Operational risk framework and fraud management: a contemporary approach

Chapter 7. Current trends in investment analysis

Chapter 8. A study on various applications of data mining and supervised learning techniques in business fraud detection

Chapter 9. Detection and prevention of fraud in the digital era

Chapter 10. Downside risk premium: a comparative analysis

Chapter 11. Impact of corporate fraud on foreign direct investment?: evidence from China

Chapter 12. Outsourcing of internal audit services instead of traditional internal audit units: a literature review on transition from in-house to outsourcing

Chapter 13. Machine learning techniques and risk management: application to the banking sector during crisis

Chapter 14. Application of adaptive neurofuzzy control in the field of credit insurance

Chapter 15. Prediction of corporate failures for small and medium-sized enterprises in Europe: a comparison of statistical and machine learning approaches.

Notes:

Description based on print version record.

Includes bibliographical references and index.

ISBN:

9781799848066

OCLC:

1227386865