Predictive Data Mining Models
This book provides an overview of predictive methods demonstrated by open source software modeling with Rattle (R’) and WEKA. Knowledge management involves application of human knowledge (epistemology) with the technological advances of our current societ
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David L. Olson Desheng Wu
Predictive Data Mining Models Second Edition
Computational Risk Management Editors-in-Chief Desheng Wu, RiskLab, University of Chinese Academy of Sciences and Stockholm University, Beijing, Beijing, China David L. Olson, Department of Supply Chain Management and Analytics, University of Nebraska-Lincoln, Lincoln, NE, USA John Birge, University of Chicago Booth School of Business, Chicago, IL, USA
Risks exist in every aspect of our lives and risk management has always been a vital topic. Most computational techniques and tools have been used for optimizing risk management and the risk management tools benefit from computational approaches. Computational intelligence models such as neural networks and support vector machines have been widely used for early warning of company bankruptcy and credit risk rating. Operational research approaches such as VaR (value at risk) optimization have been standardized in managing markets and credit risk, agent-based theories are employed in supply chain risk management and various simulation techniques are employed by researchers working on problems of environmental risk management and disaster risk management. Investigation of computational tools in risk management is beneficial to both practitioners and researchers. The Computational Risk Management series is a high-quality research book series with an emphasis on computational aspects of risk management and analysis. In this series, research monographs as well as conference proceedings are published.
More information about this series at http://www.springer.com/series/8827
David L. Olson Desheng Wu •
Predictive Data Mining Models Second Edition
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David L. Olson College of Business University of Nebraska-Lincoln Lincoln, NE, USA
Desheng Wu Economics and Management School University of Chinese Academy of Sciences Beijing, China
ISSN 2191-1436 ISSN 2191-1444 (electronic) Computational Risk Management ISBN 978-981-13-9663-2 ISBN 978-981-13-9664-9 (eBook) https://doi.org/10.1007/978-981-13-9664-9 1st edition: © Springer Science+Business Media Singapore 2017 2nd edition: © Springer Nature Singapore Pte Ltd. 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of
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