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Computational Risk Management @ SpringerLink

• 
  Desheng Dash Wu, David L. Olson:
  Pandemic Risk Management in Operations and Finance - Modeling the Impact of COVID-19. Computational Risk Management, Springer 2020, ISBN 978-3-030-52196-7, pp. 1-139

• 
  David L. Olson, Georg Lauhoff:
  Descriptive Data Mining, Second Edition. Computational Risk Management, Springer 2019, ISBN 978-981-13-7180-6, pp. 1-130

• 
  David L. Olson:
  Descriptive Data Mining. Computational Risk Management, Springer 2017, ISBN 978-981-10-3339-1, pp. 1-114
• 
  Sifeng Liu, Yingjie Yang, Jeffrey Forrest:
  Grey Data Analysis - Methods, Models and Applications. Computational Risk Management, Springer 2017, ISBN 978-981-10-1840-4, pp. 1-333
• 
  David L. Olson, Desheng Wu:
  Predictive Data Mining Models. Computational Risk Management, Springer 2017, ISBN 978-981-10-2542-6, pp. 1-97

• 
  Peter Sarlin:
  Mapping Financial Stability. Computational Risk Management, Springer 2014, ISBN 978-3-642-54955-7, pp. 1-233

• 
  Desheng Dash Wu:
  Modeling Risk Management in Sustainable Construction. Springer 2011, ISBN 978-3-642-15242-9 [contents]
• 
  Desheng Dash Wu, Yong Zhou:
  Modeling Risk Management for Resources and Environment in China. Springer 2011, ISBN 978-3-642-18386-7 [contents]

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last updated on 2024-04-25 05:25 CEST by the dblp team

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