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Giuseppe Nicosia · Panos Pardalos
Giovanni Giuffrida · Renato Umeton
(Eds.)
123
LNCS 10710
Third International Conference, MOD 2017
Volterra, Italy, September 14–17, 2017
Revised Selected Papers
Machine Learning,
Optimization,
and Big Data
Lecture Notes in Computer Science 10710
Commenced Publication in 1973
Founding and Former Series Editors:
Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen
Editorial Board
David Hutchison
Lancaster University, Lancaster, UK
Takeo Kanade
Carnegie Mellon University, Pittsburgh, PA, USA
Josef Kittler
University of Surrey, Guildford, UK
Jon M. Kleinberg
Cornell University, Ithaca, NY, USA
Friedemann Mattern
ETH Zurich, Zurich, Switzerland
John C. Mitchell
Stanford University, Stanford, CA, USA
Moni Naor
Weizmann Institute of Science, Rehovot, Israel
C. Pandu Rangan
Indian Institute of Technology, Madra s, India
Bernhard Steffen
TU Dor tmund University, Dortmund, Germany
Demetri Terzopoulos
University of California, Los Angeles, CA, USA
Doug Tygar
University of California, Berkeley, CA, USA
Gerhard Weikum
Max Planck Institute for Informatics, Saarbrücken, Germany
Giuseppe Nicosia
•
Panos Pardalos
Giovanni Giuffrida
•
Renato Umeton (Eds.)
Machine Learning,
Optimization,
and Big Data
Third International Conference, MOD 2017
Volterra, Italy, September 14–17, 2017
Revised Selected Papers
123
Editors
Giuseppe Nicosia
University of Catania
Catania
Italy
Panos Pardalos
University of Florida
Gainesville, FL
USA
Giovanni Giuffrida
University of Catania
Catania
Italy
Renato Umeton
Harvard University
Cambridge, MA
USA
ISSN 0302-9743 ISSN 1611-3349 (electronic)
Lecture Notes in Computer Science
ISBN 978-3-319-72925-1 ISBN 978-3-319-72926-8 (eBook)
https://doi.org/10.1007/978-3-319-72926-8
Library of Congress Control Number: 2017962876
LNCS Sublibrary: SL3 – Information Systems and Applications, incl. Internet/Web, and HCI
© Springer International Publishing AG 2018
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. The publisher remains neutral with regard to jurisdictional claims in
published maps and institutional affiliations.
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
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