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Fraud Analytics in Action: Data Science and Machine Learning Techniques for Detecting Fraud in the Digital Age (Palgrave Studies in Accounting and Finance Practice) - Hardcover
Synopsis
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.
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About the Author
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.
From the Back Cover
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.
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.
"About this title" may belong to another edition of this title.
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Fraud Analytics in Action (Hardcover)
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Springer Nature Switzerland AG, 2026
ISBN 10: 3032160227
ISBN 13: 9783032160225
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Hardcover. Condition: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783032160225
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Fraud Analytics in Action: Data Science and Machine Learning Techniques for Detecting Fraud in the Digital Age (Palgrave Studies in Accounting and Finance Practice)
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Fraud Analytics in Action
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ISBN 10: 3032160227
ISBN 13: 9783032160225
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Fraud Analytics in Action (Hardcover)
Published by
Springer Nature Switzerland AG, 2026
ISBN 10: 3032160227
ISBN 13: 9783032160225
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Hardcover. Condition: new. Hardcover. 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. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9783032160225
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Fraud Analytics In Action: Data Science And Machine Learning Techniques For Detecting Fraud In The Digital Age
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Springer Nature Switzerland Ag, 2026
ISBN 10: 3032160227
ISBN 13: 9783032160225
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Nature Customer Service Center GmbH, Europaplatz 3,69115 Heidelberg, Germany, Heidelberg 548 pp. Englisch. Seller Inventory # 9783032160225
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Fraud Analytics in Action: Data Science and Machine Learning Techniques for Detecting Fraud in the Digital Age (Palgrave Studies in Accounting and Finance Practice)
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Fraud Analytics in Action: Data Science and Machine Learning Techniques for Detecting Fraud in the Digital Age (Palgrave Studies in Accounting and Finance Practice)
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