Knowledge Management
Knowledge management is an overarching term referring to the ability to identify, store, and retrieve knowledge. Identification requires gathering the information needed and to analyze available data to make effective decisions regarding whatever the orga
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David L. Olson
Descriptive Data Mining
Computational Risk Management
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 machine have been widely used for early warning of company bankruptcy and credit risk rating, operational research approaches such as VaR (value at risk) optimization has 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, conference proceedings are published. More information about this series at http://www.springer.com/series/8827
David L. Olson
Descriptive Data Mining
13
David L. Olson College of Business University of Nebraska Lincoln, NE USA
ISSN 2191-1436 ISSN 2191-1444 (electronic) Computational Risk Management ISBN 978-981-10-3339-1 ISBN 978-981-10-3340-7 (eBook) DOI 10.1007/978-981-10-3340-7 Library of Congress Control Number: 2016959547 © Springer Nature Singapore Pte Ltd. 2017 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 publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #22-06/08 Gateway East, Singapore 189721, Singapore
Preface
Knowledge management involves application of human knowledge (epistemology) with the
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