Title: Fraud Analytics in Action: Data Science and Machine Learning Techniques for Detecting Fraud in the Digital Age
Publisher: Palgrave Macmillan
Publication Date: 2026
Language: English
ISBN 10: 3032160227
ISBN 13: 9783032160225
Binding: Hardcover
Condition: New

About this title

Synopsis

This book is a comprehensive guide designed for professionals in high-risk sectors, bridging the gap between traditional auditing methods and the modern digital landscape. This book offers innovative solutions, practical Python coding exercises, and real-world scenarios, equipping readers with invaluable insights into fraud analytics. Tailored for internal auditors, data scientists, and analysts, it's an essential resource for navigating the complexities of fraud in the digital era.

About the Author

Abdelrahim Aqqad has more than 15 years of experience as a Chief Internal Auditor alongside expertise in governance, risk management, internal control, and process re-engineering. He has authored numerous articles and spoken at various conferences, establishing himself as a thought leader in fraud analytics and risk management.

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