By Ron S. Kenett, Yossi Raanan
Types and strategies for operational dangers review and mitigation are gaining value in monetary associations, healthcare companies, undefined, companies and organizations generally. This booklet introduces smooth Operational hazard administration and describes how quite a few info assets of alternative forms, either numeric and semantic assets corresponding to textual content will be built-in and analyzed. The booklet additionally demonstrates how Operational chance administration is synergetic to different hazard administration actions corresponding to monetary hazard administration and protection Management.Operational hazard administration: a pragmatic method of clever facts research offers sensible and confirmed methodologies for combining based and unstructured, semantic-based information, and numeric facts, in Operational chance administration (OpR) info analysis.Key Features:The ebook is gifted in 4 elements: 1) advent to OpR administration, 2) info for OpR administration, three) OpR Analytics and four) OpR purposes and its Integration with different Disciplines.Explores integration of semantic, unstructured textual facts, in Operational probability Management.Provides novel thoughts for combining qualitative and quantitative info to evaluate dangers and layout mitigation strategies.Presents a entire remedy of "near-misses" information and incidents in Operational chance Management.Looks at case reviews within the monetary and commercial sector.Discusses software of ontology engineering to version wisdom utilized in Operational threat Management.Many genuine lifestyles examples are offered, in most cases according to the MUSING venture co-funded by way of the ecu FP6 info Society expertise Programme. It presents a distinct multidisciplinary standpoint at the vital and evolving subject of Operational threat administration. The e-book may be valuable to operational chance practitioners, probability managers in banks, hospitals and searching for smooth techniques to hazard administration that mix an research of established and unstructured info. The e-book also will gain teachers drawn to learn during this box, searching for thoughts constructed based on genuine global difficulties.
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Additional resources for Operational Risk Management: A Practical Approach to Intelligent Data Analysis
A large literature exists on various aspects or risk assessment and risk management. See for example Alexander (1998), Chorafas (2004), Doherty (2000), Dowd (1998), Embrecht et al. (1997), Engelmann and Rauhmeier (2006), Jorion (1997), Kenett and Raphaeli (2008), Kenett and Salini (2008), Kenett and Tapiero (2009), Panjer (2006), Tapiero (2004) and Van den Brink (2002). 4 Types of risk In order to mitigate risks the commercial world is developing holistic risk management programmes and approaches under the banner of enterprise risk management (ERM).
2009) Controlling the Usability of Web Services, International Journal of Software Engineering and Knowledge Engineering, 19, 5, pp. 627–651. H. (1921) Risk, Uncertainty and Proﬁt, Hart, Schaffner and Marx (Houghton Mifﬂin, Boston, 1964). eu (accessed 21 May 2010). Panjer, H. , Hoboken, NJ. Redman, T. S. and Faltin, F. (Editors in chief), John Wiley & Sons, Ltd, Chichester. N. (2007) The Black Swan: The impact of the highly improbable, Random House, New York. Tapiero, C. , Hoboken, NJ. Van den Brink, G.
She has been working on international projects for more than 10 years. g. knowledge management and marketplaces). Since January 2004, she has worked as Senior International Project Manager for the Verband der Vereine Creditreform eV, Germany. NOTES ON CONTRIBUTORS xxix Hans-Ulrich Krieger Hans-Ulrich Krieger is a Senior Researcher at the German Research Centre for Artiﬁcial Intelligence (DFKI). He studied computer science and physics at the RWTH Aachen and received a PhD (Dr. rer. ) in computer science from Sarland University in 1995.