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2022 | OriginalPaper | Chapter

9. Advanced Analytics and Knowledge Management

Authors : Kannan Subramanian R, Dr. Sudheesh Kumar Kattumannil

Published in: Event- and Data-Centric Enterprise Risk-Adjusted Return Management

Publisher: Apress

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Abstract

This chapter builds on the enterprise data management discussion from Chapters 6, 7, and 8. It covers the following topics:

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previous chapter Data Science and Enterprise Risk–Return Management
next chapter ERRM Capabilities & Improvements
Footnotes
1
Jerome Friedman, Trevor Hastie, and Robert Tibshirani, The elements of statistical learning, Vol. 122.
 
2
Ross Quinlan Decision Trees: https://www.rulequest.com/about-us.html, Ross Quinlan Decision Trees: https://www.rulequest.com/see5-info.html
 
5
Genetic Programming, http://geneticprogramming.com/
 
9
D. R. Heise (1975), Causal analysis.
 
10
Neil Allan, “Modeling the Interconnectivity of Risks in ERM,” School of Management, University of Bath, Yun Yin, School of Management, University of Bath, Neil Cantle, Milliman, ASA, FIA
 
12
Jerome Friedman, Trevor Hastie, and Robert Tibshirani. The elements of statistical learning Vol. 1, No. 10. (New York: Springer series in statistics, 2001).
 
15
Threat Assessment & Remediation Analysis (TARA), https://www.mitre.org/sites/default/files/pdf/11_4982.pdf
 
Metadata
Title
Advanced Analytics and Knowledge Management
Authors
Kannan Subramanian R
Dr. Sudheesh Kumar Kattumannil
Copyright Year
2022
Publisher
Apress
Book
Event- and Data-Centric Enterprise Risk-Adjusted Return Management

Print ISBN: 978-1-4842-7439-2

Electronic ISBN: 978-1-4842-7440-8

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-1-4842-7440-8_9

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