Analysis of Large and Complex Data
This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all
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Adalbert F.X. Wilhelm Hans A. Kestler Editors
Analysis of Large and Complex Data
Studies in Classification, Data Analysis, and Knowledge Organization
Managing Editors
Editorial Board
H.-H. Bock, Aachen W. Gaul, Karlsruhe M. Vichi, Rome C. Weihs, Dortmund
D. Baier, Cottbus F. Critchley, Milton Keynes R. Decker, Bielefeld E. Diday, Paris M. Greenacre, Barcelona C.N. Lauro, Naples J. Meulman, Leiden P. Monari, Bologna S. Nishisato, Toronto N. Ohsumi, Tokyo O. Opitz, Augsburg G. Ritter, Passau M. Schader, Mannheim
More information about this series at http://www.springer.com/series/1564
Adalbert F.X. Wilhelm • Hans A. Kestler Editors
Analysis of Large and Complex Data
123
Editors Adalbert F.X. Wilhelm Jacobs University Bremen Bremen, Germany
Hans A. Kestler Institute of Medical Systems Biology Universität Ulm Ulm, Germany
ISSN 1431-8814 ISSN 2198-3321 (electronic) Studies in Classification, Data Analysis, and Knowledge Organization ISBN 978-3-319-25224-7 ISBN 978-3-319-25226-1 (eBook) DOI 10.1007/978-3-319-25226-1 Library of Congress Control Number: 2016930307 Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2016 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 Springer International Publishing AG Switzerland is part of Springer Science+Business Media (www.springer.com)
Foreword
Dear Scholars,
The world we live in is producing vast amounts of data everywhere and anytime. Wider use of the Internet with smartphones and tablets and increasing interconnection of equipment, vehicles and machines are swelling the data flow into a veritable flood of information. This flood of information, better known as “Big Data”, is a valuable resource—if you know how to use it. Only efficient and intelligent analysis of Big Data can help us to understand linkages and to make better decisions on this basis. Its potential can be found in many areas: Evaluation of large volumes of data helps to improve med
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