Machine Learning and Knowledge Discovery in Databases European Confe
The three volume proceedings LNAI 10534 – 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017. The total of 101
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Yasemin Altun · Kamalika Das Taneli Mielikäinen · Donato Malerba Jerzy Stefanowski · Jesse Read Marinka Žitnik · Michelangelo Ceci Sašo Džeroski (Eds.)
Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2017 Skopje, Macedonia, September 18–22, 2017 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
10536
More information about this series at http://www.springer.com/series/1244
Yasemin Altun Kamalika Das Taneli Mielikäinen Donato Malerba Jerzy Stefanowski Jesse Read Marinka Žitnik Michelangelo Ceci Sašo Džeroski (Eds.) •
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Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2017 Skopje, Macedonia, September 18–22, 2017 Proceedings, Part III
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Editors Yasemin Altun Google Research Google Inc. Zurich Switzerland
Jesse Read Laboratoire d’ Informatique (LIX) École Polytechnique Palaiseau France
Kamalika Das NASA Ames Research Center Mountain View USA
Marinka Žitnik Department of Computer Science Stanford University Stanford USA
Taneli Mielikäinen Oath Sunnyvale USA Donato Malerba Department of Computer Science University of Bari Aldo Moro Bari Italy
Michelangelo Ceci Università degli Studi di Bari Aldo Moro Bari Italy Sašo Džeroski Jožef Stefan Institute Ljubljana Slovenia
Jerzy Stefanowski Institute of Computing Science Poznan University of Technology Poznan Poland
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-319-71272-7 ISBN 978-3-319-71273-4 (eBook) https://doi.org/10.1007/978-3-319-71273-4 Library of Congress Control Number: 2017961799 LNCS Sublibrary: SL7 – Artificial Intelligence © Springer International Publishing AG 2017 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 ma
