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Fraud Analytics in Action: Data Science and Machine Learning Techniques for Detecting Fraud in the Digital Age [Kõva köide]

  • Formaat: Hardback, 445 pages, kõrgus x laius: 210x148 mm, 129 Illustrations, color; 7 Illustrations, black and white
  • Sari: Palgrave Studies in Accounting and Finance Practice
  • Ilmumisaeg: 11-Jun-2026
  • Kirjastus: Palgrave Macmillan
  • ISBN-10: 3032160227
  • ISBN-13: 9783032160225
Teised raamatud teemal:
  • Kõva köide
  • Hind: 104,46 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 122,89 €
  • Säästad 15%
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  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Hardback, 445 pages, kõrgus x laius: 210x148 mm, 129 Illustrations, color; 7 Illustrations, black and white
  • Sari: Palgrave Studies in Accounting and Finance Practice
  • Ilmumisaeg: 11-Jun-2026
  • Kirjastus: Palgrave Macmillan
  • ISBN-10: 3032160227
  • ISBN-13: 9783032160225
Teised raamatud teemal:
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.
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.
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.