Data Mining Special Issue in Annals of Information Systems
Over the course of the last twenty years, research in data mining has seen a substantial increase in interest, attracting original contributions from various disciplines including computer science, statistics, operations research, and information systems.
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Series Editors Ramesh Sharda Oklahoma State University Stillwater, OK, USA Stefan Voß University of Hamburg Hamburg, Germany
For further volumes: http://www.springer.com/series/7573
Robert Stahlbock · Sven F. Crone · Stefan Lessmann Editors
Data Mining Special Issue in Annals of Information Systems
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Editors Robert Stahlbock Department of Business Administration University of Hamburg Institute of Information Systems Von-Melle-Park 5 20146 Hamburg Germany [email protected]
Sven F. Crone Department of Management Science Lancaster University Management School Lancaster United Kingdom LA1 4YX [email protected]
Stefan Lessmann Department of Business Administration University of Hamburg Institute of Information Systems Von-Melle-Park 5 20146 Hamburg Germany [email protected]
ISSN 1934-3221 e-ISSN 1934-3213 ISBN 978-1-4419-1279-4 e-ISBN 978-1-4419-1280-0 DOI 10.1007/978-1-4419-1280-0 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2009910538 c Springer Science+Business Media, LLC 2010 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
Data mining has experienced an explosion of interest over the last two decades. It has been established as a sound paradigm to derive knowledge from large, heterogeneous streams of data, often using computationally intensive methods. It continues to attract researchers from multiple disciplines, including computer sciences, statistics, operations research, information systems, and management science. Successful applications include domains as diverse as corporate planning, medical decision making, bioinformatics, web mining, text recognition, speech recognition, and image recognition, as well as various corporate planning problems such as customer churn prediction, target selection for direct marketing, and credit scoring. Research in information systems equally reflects this inter- and multidisciplinary approach. Information systems research exceeds the software and hardware systems that support data-intensive applications, analyzing the systems of individuals, data, and all manual or automated activities that process the data and information in a given organization. The Annals of Information Systems devotes a special issue to topics at the inte
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