Fraud Analytics in Action - Data Science and Machine Learning Techniques for Detecting Fraud in the Digital Age

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.

List of contents

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.

Product details

• Authors: Abdelrahim Aqqad
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Release: 11.06.2026
• EAN: 9783032160225
• ISBN: 978-3-0-3216022-5
• Illustrations: Approx. 400 p. 70 illus.
• Series: Palgrave Studies in Accounting and Finance Practice
• Subjects: Social sciences, law, business > Business > Business administration; Data Science, machine learning, Digital Transformation, Wirtschaftskriminalität & Managerkriminalität, Finanzrecht, allgemein, Cybersecurity, financial technology, white collar crime, risk management, financial law, Financial Accounting, Financial Fraud, Internal Auditing, Fraud Analytics, Python Coding