Robust Data Mining
Data uncertainty is a concept closely related with most real life applications that involve data collection and interpretation. Examples can be found in data acquired with biomedical instruments or other experimental techniques. Integration of robust opti
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pringerBriefs in Optimization showcases algorithmic and theoretical techniques, case studies, and applications within the broad-based field of optimization. Manuscripts related to the ever-growing applications of optimization in applied mathematics, engineering, medicine, economics, and other applied sciences are encouraged.
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Petros Xanthopoulos • Panos M. Pardalos Theodore B. Trafalis
Robust Data Mining
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Petros Xanthopoulos Department of Industrial Engineering and Management Systems University of Central Florida Orlando, FL, USA
Panos M. Pardalos Center for Applied Optimization Department of Industrial and Systems Engineering University of Florida Gainesville, FL, USA
Theodore B. Trafalis School of Industrial and Systems Engineering The University of Oklahoma Norman, OK, USA
Laboratory of Algorithms and Technologies for Networks Analysis (LATNA) National Research University Higher School of Economics Moscow, Russia
School of Meteorology The University of Oklahoma Norman, OK, USA
ISSN 2190-8354 ISSN 2191-575X (electronic) ISBN 978-1-4419-9877-4 ISBN 978-1-4419-9878-1 (eBook) DOI 10.1007/978-1-4419-9878-1 Springer New York Heidelberg Dordrecht London Library of Congress Control Number: 2012952105 Mathematics Subject Classification (2010): 90C90, 62H30 © Petros Xanthopoulos, Panos M. Pardalos, Theodore B. Trafalis 2013 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. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. 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. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warra
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