Cognitive Computing for Big Data Systems Over IoT Frameworks, Tools
This book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT). It explores domain knowledge, data science reasoning and cogni
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Arun Kumar Sangaiah Arunkumar Thangavelu Venkatesan Meenakshi Sundaram Editors
Cognitive Computing for Big Data Systems Over IoT Frameworks, Tools and Applications
Lecture Notes on Data Engineering and Communications Technologies Volume 14
Series editor Fatos Xhafa, Technical University of Catalonia, Barcelona, Spain e-mail: [email protected]
The aim of the book series is to present cutting edge engineering approaches to data technologies and communications. It publishes latest advances on the engineering task of building and deploying distributed, scalable and reliable data infrastructures and communication systems. The series has a prominent applied focus on data technologies and communications with aim to promote the bridging from fundamental research on data science and networking to data engineering and communications that lead to industry products, business knowledge and standardisation.
More information about this series at http://www.springer.com/series/15362
Arun Kumar Sangaiah ⋅ Arunkumar Thangavelu Venkatesan Meenakshi Sundaram Editors
Cognitive Computing for Big Data Systems Over IoT Frameworks, Tools and Applications
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Editors Arun Kumar Sangaiah School of Computing Science and Engineering VIT University Vellore, Tamil Nadu India
Venkatesan Meenakshi Sundaram Department of Computer Science and Engineering National Institute of Technology, Surathkal Mangalore, Karnataka India
Arunkumar Thangavelu School of Computing Science and Engineering VIT University Vellore, Tamil Nadu India
ISSN 2367-4512 ISSN 2367-4520 (electronic) Lecture Notes on Data Engineering and Communications Technologies ISBN 978-3-319-70687-0 ISBN 978-3-319-70688-7 (eBook) https://doi.org/10.1007/978-3-319-70688-7 Library of Congress Control Number: 2017959915 © Springer International Publishing AG 2018 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. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-fr
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