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.
發表於2024-11-26
Operational Risk Management 2024 pdf epub mobi 電子書 下載
這本書是講操作風險管理的若乾個專題,每個專題就是篇paper,多是理論探討,實際應用例子不多。內容上包括基於語義分析的數據分析,對near loss等的認識等等。印象比較深的是near loss概念。 基於語義分析做損失數據的分析,道理上當然說得通,莫非真是以後發展的方嚮?現在純...
評分這本書是講操作風險管理的若乾個專題,每個專題就是篇paper,多是理論探討,實際應用例子不多。內容上包括基於語義分析的數據分析,對near loss等的認識等等。印象比較深的是near loss概念。 基於語義分析做損失數據的分析,道理上當然說得通,莫非真是以後發展的方嚮?現在純...
評分這本書是講操作風險管理的若乾個專題,每個專題就是篇paper,多是理論探討,實際應用例子不多。內容上包括基於語義分析的數據分析,對near loss等的認識等等。印象比較深的是near loss概念。 基於語義分析做損失數據的分析,道理上當然說得通,莫非真是以後發展的方嚮?現在純...
評分這本書是講操作風險管理的若乾個專題,每個專題就是篇paper,多是理論探討,實際應用例子不多。內容上包括基於語義分析的數據分析,對near loss等的認識等等。印象比較深的是near loss概念。 基於語義分析做損失數據的分析,道理上當然說得通,莫非真是以後發展的方嚮?現在純...
評分這本書是講操作風險管理的若乾個專題,每個專題就是篇paper,多是理論探討,實際應用例子不多。內容上包括基於語義分析的數據分析,對near loss等的認識等等。印象比較深的是near loss概念。 基於語義分析做損失數據的分析,道理上當然說得通,莫非真是以後發展的方嚮?現在純...
圖書標籤: 風險管理 金融
若乾操作風險研究paper的集閤,少數幾篇認真看瞭,其他的多是看的後麵的summary。
評分若乾操作風險研究paper的集閤,少數幾篇認真看瞭,其他的多是看的後麵的summary。
評分若乾操作風險研究paper的集閤,少數幾篇認真看瞭,其他的多是看的後麵的summary。
評分若乾操作風險研究paper的集閤,少數幾篇認真看瞭,其他的多是看的後麵的summary。
評分若乾操作風險研究paper的集閤,少數幾篇認真看瞭,其他的多是看的後麵的summary。
Operational Risk Management 2024 pdf epub mobi 電子書 下載