Trends and Applications in Knowledge Discovery and Data Mining PAKDD

This book constitutes the refereed proceedings at PAKDD Workshops 2015, held in conjunction with PAKDD, the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining in Ho Chi Minh City, Vietnam, in May 2015. The 23 revised papers presented were

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Xiao-Li Li · Tru Cao · Ee-Peng Lim Zhi-Hua Zhou · Tu-Bao Ho David Cheung · Hiroshi Motoda (Eds.)

Trends and Applications in Knowledge Discovery and Data Mining PAKDD 2015 Workshops: BigPMA, VLSP, QIMIE, DAEBH Ho Chi Minh City, Vietnam, May 19–21, 2015 Revised Selected Papers

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

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

Xiao-Li Li Tru Cao Ee-Peng Lim Zhi-Hua Zhou Tu-Bao Ho David Cheung Hiroshi Motoda (Eds.) •





Trends and Applications in Knowledge Discovery and Data Mining PAKDD 2015 Workshops: BigPMA, VLSP, QIMIE, DAEBH Ho Chi Minh City, Vietnam, May 19–21, 2015 Revised Selected Papers

123

Editors Xiao-Li Li Institute for Infocomm Research Singapore Singapore Tru Cao Ho Chi Minh City University of Technology Ho Chi Minh City Vietnam Ee-Peng Lim School of Information Systems Singapore Management University Singapore Singapore

Tu-Bao Ho Japan Advanced Institute of Science and Technology Nomi-shi, Ishikawa Japan David Cheung The University of Hong Kong Hong Kong China Hiroshi Motoda AOARD Tokyo Japan

Zhi-Hua Zhou Nanjing University Nanjing China

ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-319-25659-7 ISBN 978-3-319-25660-3 (eBook) DOI 10.1007/978-3-319-25660-3 Library of Congress Control Number: 2015952758 LNCS Sublibrary: SL7 – Artificial Intelligence Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2015 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 Springer International Publishing AG Switzerland is part of Springer Science+Busi