Parallel Mining of Frequent Subtree Patterns
Mining frequent subtree patterns in a tree database (or, forest) is useful in domains such as bioinformatics and mining semi-structured data. We consider the problem of mining embedded subtrees in a database of rooted, labeled, and ordered trees. We compa
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oundations for Data Interoperability and Large Scale Graph Data Analytics 4th International Workshop, SFDI 2020 and 2nd International Workshop, LSGDA 2020 held in Conjunction with VLDB 2020 Tokyo, Japan, September 4, Proceedings
Communications in Computer and Information Science Editorial Board Members Joaquim Filipe Polytechnic Institute of Setúbal, Setúbal, Portugal Ashish Ghosh Indian Statistical Institute, Kolkata, India Raquel Oliveira Prates Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil Lizhu Zhou Tsinghua University, Beijing, China
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Lu Qin Wenjie Zhang Ying Zhang You Peng Hiroyuki Kato Wei Wang Chuan Xiao (Eds.) •
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Software Foundations for Data Interoperability and Large Scale Graph Data Analytics 4th International Workshop, SFDI 2020 and 2nd International Workshop, LSGDA 2020 held in Conjunction with VLDB 2020 Tokyo, Japan, September 4, 2020 Proceedings
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Editors Lu Qin University of Technology Sydney Sydney, NSW, Australia
Wenjie Zhang The University of New South Wales Sydney, NSW, Australia
Ying Zhang University of Technology Sydney Sydney, NSW, Australia
You Peng The University of New South Wales Sydney, NSW, Australia
Hiroyuki Kato National Institute of Informatics Tokyo, Japan
Wei Wang The University of New South Wales Sydney, NSW, Australia
Chuan Xiao Osaka University Osaka, Japan
ISSN 1865-0929 ISSN 1865-0937 (electronic) Communications in Computer and Information Science ISBN 978-3-030-61132-3 ISBN 978-3-030-61133-0 (eBook) https://doi.org/10.1007/978-3-030-61133-0 © 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
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