Machine Learning and Knowledge Discovery in Databases European C

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

  • PDF / 49,491,597 Bytes
  • 850 Pages / 439.37 x 666.142 pts Page_size
  • 9 Downloads / 213 Views

DOWNLOAD

REPORT


Paolo Frasconi · Niels Landwehr Giuseppe Manco · Jilles Vreeken (Eds.)

Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2016 Riva del Garda, Italy, September 19–23, 2016 Proceedings, Part I

123

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

9851

More information about this series at http://www.springer.com/series/1244

Paolo Frasconi Niels Landwehr Giuseppe Manco Jilles Vreeken (Eds.) •



Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2016 Riva del Garda, Italy, September 19–23, 2016 Proceedings, Part I

123

Editors Paolo Frasconi Università degli Studi di Firenze Florence Italy

Giuseppe Manco National Research Council (ICAR-CNR) Rende Italy

Niels Landwehr Computer Science University of Potsdam Potsdam Germany

Jilles Vreeken MPI for Informatics Saarland University Saarbrucken, Saarland Germany

ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-319-46127-4 ISBN 978-3-319-46128-1 (eBook) DOI 10.1007/978-3-319-46128-1 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 address is: Gewerbestrasse 11, 6330 Cham, Switzerland

Preface

These are the proceedings of the 15th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2016), held in Riva del Garda, Italy, during Septemb