Data Engineering Mining, Information and Intelligence
DATA ENGINEERING: Mining, Information, and Intelligence describes applied research aimed at the task of collecting data and distilling useful information from that data. Most of the work presented emanates from research completed through collaborations be
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Data Engineering Mining, Information and Intelligence
Yupo Chan John Talburt Terry M. Talley Editors
International Series in Operations Research & Management Science Volume 132
Series Editor Frederick S. Hillier Stanford University, CA, USA
Series Editorial Consultant Camille Price Stephen F. Austin State University, TX, USA
For further volumes: http://www.springer.com/series/6161
Data Engineering Mining, Information and Intelligence Edited by
Yupo Chan John R. Talburt Terry M. Talley
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Editors Yupo Chan Department of Systems Engineering University of Arkansas Donaghey College of Info Sci. 2801 South University Avenue Little Rock AR 72204-1099 USA [email protected]
John R. Talburt Department of Information Science University of Arkansas, Little Rock 2801 South University Ave. Little Rock AR 72204-1099 USA [email protected]
Terry M. Talley Acxiom Corporation P.O.Box 2000 Conway AR 72033-2000 USA [email protected]
ISBN 978-1-4419-0175-0 e-ISBN 978-1-4419-0176-7 DOI 10.1007/978-1-4419-0176-7 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2009934450 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
Background Many of us live in a world which is immersed in an overabundance of data. Not all this data, however, is either welcome or useful to the individual. The key is to bring the appropriate data together in a comprehensive and comprehensible way, then distill the data into information that is useful - information that will provide intelligence and insight for actionable strategies. This volume describes applied research targeted at the task of collecting data and distilling useful information from that data. The work emanates primarily from applied research completed through collaborations between Acxiom Corporation and its academic research partners under the aegis of the Acxiom Laboratory for Applied Research (ALAR). Acxiom Corporation is a global leader in customer and informationmanagement solutions with international offices and operational units in the United States, Europe, Australia, and China. ALAR was created as a means to engage the intellectual resources of the academic community in applied research that addresses specific industr
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