Nyhet

Fraud Analytics in Action

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

AvAbdelrahim Aqqad

Inbunden, Engelska, 2026

Del i serien Palgrave Studies in Accounting and Finance Practice

1 159 kr

Kommande

Beskrivning

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.

Produktinformation

Utgivningsdatum:2026-06-11
Mått:148 x 210 x undefined mm
Format:Inbunden
Språk:Engelska
Serie:Palgrave Studies in Accounting and Finance Practice
Antal sidor:445
Förlag:Springer Nature Switzerland AG
ISBN:9783032160225

Utforska kategorier

Brottsutredning och kriminalteknik inom Samhälle och politik
Redovisning inom Ekonomi och Ledarskap
Finansrätt inom Juridik

Mer om författaren

Abdelraheem 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.

Innehållsförteckning

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.