Towards Advanced Data Analysis by Combining Soft Computing and Statistics
Soft computing, as an engineering science, and statistics, as a classical branch of mathematics, emphasize different aspects of data analysis. Soft computing focuses on obtaining working solutions quickly, accepting approximations and unconventional appro
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Christian Borgelt, María Ángeles Gil, João M.C. Sousa, and Michel Verleysen (Eds.)
Towards Advanced Data Analysis by Combining Soft Computing and Statistics
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Editors Dr. Christian Borgelt European Centre for Soft Computing Mieres Spain María Ángeles Gil Universidad de Oviedo Spain
João M.C. Sousa Technical University Lisbon Portugal Michel Verleysen Université Catholique de Louvain (UCL) Louvain-la-Neuve Belgium
ISSN 1434-9922 e-ISSN 1860-0808 ISBN 978-3-642-30277-0 e-ISBN 978-3-642-30278-7 DOI 10.1007/978-3-642-30278-7 Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2012939124 c Springer-Verlag Berlin Heidelberg 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 warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
This book is the Final Action Publication of COST Action IC0702: “Combining Soft Computing Techniques and Statistical Methods to Improve Data Analysis Solutions” (SoftStat). The main objective of this Action was to strengthen the dialog between the statistics and soft computing research communities in order to cross-pollinate both fields and generate mutual improvement activities. Soft computing, as an engineering science, and statistics, as a branch of mathematics, emphasize different aspects
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