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.
mai 2026, env. 445 pages, Palgrave Studies in Accounting and Finance Practice, Anglais
Springer International Publishing
978-3-032-16022-5
Springer International Publishing
978-3-032-16022-5