Overview
- Includes detailed discussions of time series data and different characteristics that data may have
- Describes data mining processes used in predictive modeling
- Includes demonstrations of modeling with R and with Matlab
- Includes supplementary material: sn.pub/extras
Part of the book series: Computational Risk Management (Comp. Risk Mgmt)
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Table of contents (8 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
Desheng Wu is a Special-term Professor at University of Chinese Academy of Sciences, Beijing, China, and a Professor at Stockholm University, Sweden. He has published over 150 ISI-indexed papers in refereed journals, such as Production and Operations Management, Decision Sciences, Risk Analysis, and IEEE Transactions on Systems, Man, and Cybernetics, as well as 7 books with publishers like Springer. He is an elected member of Academia Europaea (The Academy of Europe), the European Academy of Sciences and Arts, and the International Eurasian Academy of Sciences. He has served asan associate editor and a guest editor for several journals, such as Risk Analysis, IEEE Transactions on Systems, Man, and Cybernetics, the Annals of Operations Research, Computers and Operations Research, the International Journal of Production Economics, and Omega. He is the editor of Springer’s book series on computational risk management.
Bibliographic Information
Book Title: Predictive Data Mining Models
Authors: David L. Olson, Desheng Wu
Series Title: Computational Risk Management
DOI: https://doi.org/10.1007/978-981-10-2543-3
Publisher: Springer Singapore
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer Science+Business Media Singapore 2017
Softcover ISBN: 978-981-10-9645-7Published: 15 June 2018
eBook ISBN: 978-981-10-2543-3Published: 26 September 2016
Series ISSN: 2191-1436
Series E-ISSN: 2191-1444
Edition Number: 1
Number of Pages: XI, 102
Number of Illustrations: 6 b/w illustrations, 48 illustrations in colour
Topics: Big Data/Analytics, Data Mining and Knowledge Discovery, Risk Management