Data Mining and Constraint Programming Foundations of a Cross-Discip
A successful integration of constraint programming and data mining has the potential to lead to a new ICT paradigm with far reaching implications. It could change the face of data mining and machine learning, as well as constraint programming technology.
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State-of-the-Art Survey
Christian Bessiere · Luc De Raedt Lars Kotthoff · Siegfried Nijssen Barry O’Sullivan · Dino Pedreschi (Eds.)
Data Mining and Constraint Programming Foundations of a Cross-Disciplinary Approach
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Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science
LNAI Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany
LNAI Founding Series Editor Joerg Siekmann DFKI and Saarland University, Saarbrücken, Germany
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More information about this series at http://www.springer.com/series/1244
Christian Bessiere Luc De Raedt Lars Kotthoff Siegfried Nijssen Barry O’Sullivan Dino Pedreschi (Eds.) •
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Data Mining and Constraint Programming Foundations of a Cross-Disciplinary Approach
123
Editors Christian Bessiere Université Montpellier 2 Montpellier France
Siegfried Nijssen Université Catholique de Louvain Louvain-la-Neuve Belgium
Luc De Raedt KU Leuven Heverlee Belgium
Barry O’Sullivan University College Cork Cork Ireland
Lars Kotthoff University of British Columbia Vancouver, BC Canada
Dino Pedreschi University of Pisa Pisa Italy
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-319-50136-9 ISBN 978-3-319-50137-6 (eBook) DOI 10.1007/978-3-319-50137-6 Library of Congress Control Number: 2016959176 LNCS Sublibrary: SL7 – Artificial Intelligence © Springer International Publishing AG 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 This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
In industry, society, and science, advanced software is used for planning, scheduling, and allocating resources in order to improve the quality of service, reduce costs, or optimize
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