Detection of Spammers Using Modified Diffusion Convolution Neural Network
Social network brings convenience to our life, but it also provides a platform for spammers to spread malicious information and links. Most of the existing methods for identifying spammers mainly rely on the user’s behavior information to learn classifica
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Wei Lu Kenny Q. Zhu (Eds.)
Trends and Applications in Knowledge Discovery and Data Mining PAKDD 2020 Workshops DSFN, GII, BDM, LDRC and LBD Singapore, May 11–14, 2020 Revised Selected Papers
123
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
Wei Lu Kenny Q. Zhu (Eds.) •
Trends and Applications in Knowledge Discovery and Data Mining PAKDD 2020 Workshops DSFN, GII, BDM, LDRC and LBD Singapore, May 11–14, 2020 Revised Selected Papers
123
Editors Wei Lu Singapore University of Technology and Design Singapore, Singapore
Kenny Q. Zhu Shanghai Jiao Tong University Shanghai, China
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-030-60469-1 ISBN 978-3-030-60470-7 (eBook) https://doi.org/10.1007/978-3-030-60470-7 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 claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is one of the longest established and leading international conferences in the areas of data mining and knowledge discovery. It provides an international forum for researchers and industry practitioners to share their new ideas, original research results, and practical development experiences from all KDD-related areas, including data mining,
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