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Models and methods for operational risks assessment and mitigation are gaining importance in financial institutions, healthcare organizations, industry, businesses and organisations in general. This book introduces modern Operational Risk Management and describes how various data sources of different types, both numeric and semantic sources such as text can be integrated and analyzed. The book also demonstrates how Operational Risk Management is synergetic to other risk management activities such as Financial Risk Management and Safety Management. Operational Risk Management: a practical approach to intelligent data analysis provides practical and tested methodologies for combining structured and unstructured, semantic-based data, and numeric data, in Operational Risk Management (OpR) data analysis. Key Features: The book is presented in four parts: 1) Introduction to OpR Management, 2) Data for OpR Management, 3) OpR Analytics and 4) OpR Applications and its Integration with other Disciplines. Explores integration of semantic, unstructured textual data, in Operational Risk Management. Provides novel techniques for combining qualitative and quantitative information to assess risks and design mitigation strategies. Presents a comprehensive treatment of «near-misses» data and incidents in Operational Risk Management. Looks at case studies in the financial and industrial sector. Discusses application of ontology engineering to model knowledge used in Operational Risk Management. Many real life examples are presented, mostly based on the MUSING project co-funded by the EU FP6 Information Society Technology Programme. It provides a unique multidisciplinary perspective on the important and evolving topic of Operational Risk Management. The book will be useful to operational risk practitioners, risk managers in banks, hospitals and industry looking for modern approaches to risk management that combine an analysis of structured and unstructured data. The book will also benefit academics interested in research in this field, looking for techniques developed in response to real world problems.
Ming-Li Shiu Quality Strategy for Research and Development shakuntala meena r k mathukia and v d khanpara weed management in summer greengram vigna radiata l page 3
Mick Campbell The New One-Page Project Manager. Communicate and Manage Any Project With A Single Sheet of Paper shakuntala meena r k mathukia and v d khanpara weed management in summer greengram vigna radiata l page 3
K. Mittal L. Progress in Adhesion and Adhesives shakuntala meena r k mathukia and v d khanpara weed management in summer greengram vigna radiata l page 3
Page K. The Body in the Birches shakuntala meena r k mathukia and v d khanpara weed management in summer greengram vigna radiata l page 3
Kenett Ron S. Operational Risk Management. A Practical Approach to Intelligent Data Analysis shakuntala meena r k mathukia and v d khanpara weed management in summer greengram vigna radiata l page 3
Kinji Mori Concept-Oriented Research and Development in Information Technology shakuntala meena r k mathukia and v d khanpara weed management in summer greengram vigna radiata l page 3
Jeremy Hall L. Managing and Measuring Performance in Public and Nonprofit Organizations. An Integrated Approach shakuntala meena r k mathukia and v d khanpara weed management in summer greengram vigna radiata l page 3
Jared Diamond The Invisible Hands. Top Hedge Fund Traders on Bubbles, Crashes, and Real Money shakuntala meena r k mathukia and v d khanpara weed management in summer greengram vigna radiata l page 3
Paul Hatcher E. Weed Research. Expanding Horizons shakuntala meena r k mathukia and v d khanpara weed management in summer greengram vigna radiata l page 3
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