Advances in Knowledge Discovery and Data Mining 24th Pacific-Asi
The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was hel
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Hady W. Lauw · Raymond Chi-Wing Wong · Alexandros Ntoulas · Ee-Peng Lim · See-Kiong Ng · Sinno Jialin Pan (Eds.)
Advances in Knowledge Discovery and Data Mining 24th Pacific-Asia Conference, PAKDD 2020 Singapore, May 11–14, 2020 Proceedings, Part I
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Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science
Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany
Founding Editor Jörg Siekmann DFKI and Saarland University, Saarbrücken, Germany
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More information about this series at http://www.springer.com/series/1244
Hady W. Lauw Raymond Chi-Wing Wong Alexandros Ntoulas Ee-Peng Lim See-Kiong Ng Sinno Jialin Pan (Eds.) •
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Advances in Knowledge Discovery and Data Mining 24th Pacific-Asia Conference, PAKDD 2020 Singapore, May 11–14, 2020 Proceedings, Part I
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Editors Hady W. Lauw School of Information Systems Singapore Management University Singapore, Singapore Alexandros Ntoulas Department of Informatics and Telecommunications National and Kapodistrian University of Athens Athens, Greece See-Kiong Ng Institute of Data Science National University of Singapore Singapore, Singapore
Raymond Chi-Wing Wong Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong, Hong Kong Ee-Peng Lim School of Information Systems Singapore Management University Singapore, Singapore Sinno Jialin Pan School of Computer Science and Engineering Nanyang Technological University Singapore, Singapore
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-030-47425-6 ISBN 978-3-030-47426-3 (eBook) https://doi.org/10.1007/978-3-030-47426-3 LNCS Sublibrary: SL7 – Artificial Intelligence © Springer Nature Switzerland AG 2020 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, expressed 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 claim
