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Predictive Data Mining Models: (Computational Risk Management)

(Paperback)

David L. Olson , Desheng Wu,

Springer Verlag, Singapore (Publisher)

Published

2018

Reviews

Reference, Information and Interdisciplinary subjects Research and information: general Decision theory: general Risk assessment

By: David L. Olson , Desheng Wu | Publisher: Springer Verlag, Singapore | Released: 15 Jun 2018

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This book reviews forecasting data mining models, from basic tools for stable data through causal models, to more advanced models using trends and cycles. These models are demonstrated on the basis of business-related data, including stock indices, crude oil prices, and the price of gold. The book’s main approach is above all descriptive, seeking to explain how the methods concretely work; as such, it includes selected citations, but does not go into deep scholarly reference. The data sets and software reviewed were selected for their widespread availability to all readers with internet access.

Predictive Data Mining Models: (Computational Risk Management)

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