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商品詳細
Fraud Analytics in Action : Data Science and Machine Learning Techniques for Detecting Fraud in the Digital Age.
・ISBN 978-3-032-16022-5 hard EUR 109.99
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| 著者・編者 | Aqqad, Abdelrahim, |
|---|---|
| シリーズ | Palgrave Studies in Accounting and Finance Practice |
| 出版社 | (Palgrave Macmillan, UK) |
| 出版年月 | 2026.05 |
| ページ数 | 490 pp. |
| 言語 | ENG |
| ニュース番号 | <768-383 768-391> |
解説
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.