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1. |
Record Nr. |
UNINA9910462761503321 |
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Titolo |
Civilizing nature [[electronic resource] ] : national parks in global historical perspective / / edited by Bernhard Gissibl, Sabine Hohler, Patrick Kupper |
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Pubbl/distr/stampa |
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New York, : Berghahn Books, 2012 |
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ISBN |
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1-283-90346-6 |
0-85745-527-3 |
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Descrizione fisica |
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1 online resource (304 p.) |
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Collana |
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Environment in history ; ; vol. 1 |
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Altri autori (Persone) |
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GissiblBernhard <1976-> |
HòˆhlerSabine |
KupperPatrick |
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Disciplina |
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Soggetti |
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Environmental protection - History |
Environmentalism - History |
Globalization - History |
National parks and reserves - Government policy - History |
National parks and reserves - History |
National parks and reserves - Political aspects - History |
Protected areas - History |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Contents; Figures; Abbreviations; Acknowledgements; Introduction-Towards a Global History of National Parks; Part I-Parks and Empires; Chapter 1-Unpacking Yellowstone: The American National Park in Global Perspective; Chapter 2-How National Were the First National Parks? Comparative Perspectives from the British Settler Societies; Chapter 3-Imperial Preservation and Landscape Reclamation: National Parks and Natural Reserves in French Colonial Africa; Chapter 4-From Colonial Imposition to National Icon: Malaysia's Taman Negara National Park |
Chapter 5-A Bavarian Serengeti: Space, Race and Time in the Entangled |
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History of Nature Conservation in East Africa and GermanyPart II-Organizations and Networks; Chapter 6-Translating Yellowstone: Early European National Parks, Weltnaturschutz and the Swiss Model; Chapter 7-Framing the Heritage of Mankind: National Parks on the International Agenda; Chapter 8-Global Values, Local Politics: Inuit Internationalism and the Establishment of Northern Yukon National Park |
Chapter 9-Demarcating Widlerness and Disciplining Wildlife: Radio Tracking Large Carnivores in Yellowstone and Chitwan National ParksPart III-Nations and Natures; Chapter 10-A Revolutionary Civilization: National Parks, Transnational Exchanges and the Construction of Modern Mexico; Chapter 11-Parks without Wilderness, Wilderness without Parks? Assigning National Park Status to Dutch Manmade Landscapes and Colonial Game Reserves; Chapter 12-Globalizing Nature: National Parks, Tiger Reserves and Biosphere Reserves in Independent India |
Chapter 13-Slovenia's Triglav National Park: From Imperial Borderland to National EthnoscapeEpilogue: National Parks, Civilization and Globalization; Select Bibliography; Notes on Contributors |
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Sommario/riassunto |
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National Parks are one of the most important and successful institutions in global environmentalism. Since their first designation in the United States in the 1860s and 1870s they have become a global phenomenon. The development of this multitude of ecological as well as political systems cannot be understood as a simple reaction to mounting environmental problems, nor can it be explained by the spread of environmental sensibilities. Shifting the focus from the usual emphasis on the National Parks in the United States, this volume adopts an historical and transnational perspective on the globa |
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2. |
Record Nr. |
UNINA9911031633503321 |
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Autore |
Ma Xiyuan |
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Titolo |
Financial Fraud Detection Using Machine Learning / / by Xiyuan Ma, Desheng Wu |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (231 pages) |
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Collana |
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AI for Risks, , 2731-6335 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Financial risk management |
Risk management |
Risk Management |
IT Risk Management |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction -- The Definition of Financial Fraud -- The Basic Theory of Financial Fraud -- Financial Fraud Litigation and Forensic Accounting -- Resampling Techniques and Feature Selection -- Detection Models and Applications -- Financial Fraud Detection Based on Litigation and Resampling Methods -- Financial Fraud Detection Based on Feature Selection and the GONE Framework -- Financial Fraud Detection Based on Multi-Source Data -- The Classical Case of Financial Fraud. |
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Sommario/riassunto |
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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 |
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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. |
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