Adaptive Resonance Theory in Social Media Data Clustering Roles,
Social media data contains our communication and online sharing, mirroring our daily life. This book looks at how we can use and what we can discover from such big data:Basic knowledge (data & challenges) on social media analytics Clustering as a fund
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Lei Meng Ah-Hwee Tan Donald C. Wunsch II
Adaptive Resonance Theory in Social Media Data Clustering Roles, Methodologies, and Applications
Advanced Information and Knowledge Processing Editors-in-Chief Lakhmi C. Jain, Bournemouth University, Poole, UK, and, University of South Australia, Adelaide, Australia Xindong Wu, University of Vermont, USA
Information systems and intelligent knowledge processing are playing an increasing role in business, science and technology. Recently, advanced information systems have evolved to facilitate the co-evolution of human and information networks within communities. These advanced information systems use various paradigms including artificial intelligence, knowledge management, and neural science as well as conventional information processing paradigms. The aim of this series is to publish books on new designs and applications of advanced information and knowledge processing paradigms in areas including but not limited to aviation, business, security, education, engineering, health, management, and science. Books in the series should have a strong focus on information processing—preferably combined with, or extended by, new results from adjacent sciences. Proposals for research monographs, reference books, coherently integrated multi-author edited books, and handbooks will be considered for the series and each proposal will be reviewed by the Series Editors, with additional reviews from the editorial board and independent reviewers where appropriate. Titles published within the Advanced Information and Knowledge Processing series are included in Thomson Reuters’ Book Citation Index and Scopus.
More information about this series at http://www.springer.com/series/4738
Lei Meng Ah-Hwee Tan Donald C. Wunsch II •
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Adaptive Resonance Theory in Social Media Data Clustering Roles, Methodologies, and Applications
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Lei Meng NTU-UBC Research Center of Excellence in Active Living for the Elderly (LILY) Nanyang Technological University Singapore, Singapore
Ah-Hwee Tan School of Computer Science and Engineering Nanyang Technological University Singapore, Singapore
Donald C. Wunsch II Applied Computational Intelligence Laboratory Missouri University of Science and Technology Rolla, MO, USA
ISSN 1610-3947 ISSN 2197-8441 (electronic) Advanced Information and Knowledge Processing ISBN 978-3-030-02984-5 ISBN 978-3-030-02985-2 (eBook) https://doi.org/10.1007/978-3-030-02985-2 Library of Congress Control Number: 2018968387 © Springer Nature Switzerland AG 2019 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, se
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