Xiyuan (18 Ergebnisse)

Paperback. Zustand: Very Good. Bilingual. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Zustand: Very Good. Bilingual. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. pp. 208.

Paperback. Zustand: Brand New. 2nd pap/psc edition. 207 pages. 10.00x7.50x0.50 inches. In Stock.

Zustand: New. In English.

Paperback. Zustand: Brand New. 2nd pap/psc edition. 207 pages. 10.00x7.50x0.50 inches. In Stock.

Hardcover. Profusely illustrated, in color. 303 p. -(Top part of spine and front board toned, otheerwisse the book is in excellent condition.). ISBN 9789881506481.

Zustand: New. Chinese is a fascinating language that can seem impossibly difficult to learn at first but is relatively easy if you focus on the spoken language. This user-friendly guide to the basics helps you learn how to speak Chinese quickly and easily by drawing para.

Zustand: Very Good.

Paperback. Zustand: Brand New. reprint edition. 187 pages. 8.27x5.83x0.46 inches. In Stock.

Paperback. Zustand: New. Prof. Xianda Zhang was a professor at Department of Automation of Tsinghua University. He was one of the first Changjiang Scholars of the Ministry of Education, P.R.C. He has published 120 SCI papers and more th.

Hardcover. Zustand: Brand New. translation edition. 226 pages. 8.50x6.00x0.75 inches. In Stock.

Hardcover. Zustand: Brand New. 249 pages. 8.50x5.50x1.00 inches. In Stock.

Hardcover. Zustand: Brand New. 251 pages. 8.50x6.00x0.75 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book serves as a comprehensive guide to learning various aspects of financial fraud, encompassing the related research, the current situation, potential causes, implementation process, detection methods, regulatory penalties and management challenges in publicly listed companies. In this book, readers learn about the fraudulent practices that may occur in corporate operations, the executing mechanisms, an identifying indicators framework, and diverse detection methods including qualitative and quantitative models. Quantitative models include discriminant analysis, econometric analysis, and machine learning (ML) models. This book highlights the application of ML algorithms to detect financial fraud detection and discusses their limitations, such as high false-positive costs, delayed detection, the demand for interdisciplinary expertise, dependency on specific application scenarios, and issues with fraud data quality. Each related chapter provides a structured overview of the problems addressed, the algorithms used, experimental result and comparisons. Additionally, this book examines the cost-benefit trade-offs faced by companies engaging in financial fraud, considering factors such as ethical dilemmas, opportunities, practical needs, exposure risks, and litigation costs. This book is written for financial regulation institutions, business leaders, auditors, academics, and anyone interested in financial fraud detection. It offers practical insights into effectively preventing and controlling financial fraud and an overview of the latest advancements in ML technologies. Through real-world case studies, readers will gain a deeper understanding of the financial fraud, how ML can be used to detect it, as well as its pitfalls and limitations. Overall, this book bridges the gap between theory and application, equipping readers to understand how to detect financial fraud with the power of accounting and ML in the modern business environment.…