Fraud Analytics in Action

Data Science and Machine Learning Techniques for Detecting Fraud in the Digital Age
Erscheinungsjahr 2026
ISBN: 978-3-032-16022-5
Verlag: Springer

Buch, Englisch, 490 Seiten, Format (B × H): 153 mm x 216 mm, Gewicht: 811 g

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.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Al Aqqad , Abdelrahim

Fachgebiete

• Rechtswissenschaften Wirtschaftsrecht
• Rechtswissenschaften Strafrecht Kriminologie, Strafverfolgung
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensfinanzen Betriebliches Rechnungswesen

Inhaltsverzeichnis

Part I: Introduction to Fraud,- Chapter 1: Understanding Fraud: Numbers, Definitions, and the Fraud Triangle.- Chapter 2: Different Types of Fraud and Their Impact.- Chapter 3: Fraud Analytics and Its Importance.- Chapter 4: The Fraud Management Cycle with Key Components of Fraud Analytics.

Über Autor(innen)

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.