Machine Learning and Knowledge Discovery in Databases European Confe
The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016. The 123 fu
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Bettina Berendt · Björn Bringmann Élisa Fromont · Gemma Garriga Pauli Miettinen · Nikolaj Tatti Volker Tresp (Eds.)
Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2016 Riva del Garda, Italy, September 19–23, 2016 Proceedings, Part III
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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
9853
More information about this series at http://www.springer.com/series/1244
Bettina Berendt Björn Bringmann Élisa Fromont Gemma Garriga Pauli Miettinen Nikolaj Tatti Volker Tresp (Eds.) •
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Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2016 Riva del Garda, Italy, September 19–23, 2016 Proceedings, Part III
123
Editors Bettina Berendt Department of Computer Science KU Leuven Leuven Belgium Björn Bringmann Deloitte GmbH Munich Germany Élisa Fromont Laboratoire Hubert Curien Jean Monnet University Saint-Etienne France
Pauli Miettinen Max Planck Institute for Informatics Saarbrücken Germany Nikolaj Tatti Aalto University School of Science Espoo Finland Volker Tresp Siemens AG and Ludwig Maximilians University of Munich Munich Germany
Gemma Garriga Allianz SE Munich Germany
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-319-46130-4 ISBN 978-3-319-46131-1 (eBook) DOI 10.1007/978-3-319-46131-1 Library of Congress Control Number: 2016950748 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
