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Cognitive Computing for Big Data Systems Over IoT Frameworks, Tools and Applications 英文无水印原版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书
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Cognitive
Computing for
Big Data Systems
Over IoT
Arun Kumar Sangaiah
Arunkumar Thangavelu
Venkatesan Meenakshi Sundaram Editors
Frameworks, Tools and Applications
Lecture Notes on Data Engineering
and Communications Technologies 14
Lecture Notes on Data Engineering
and Communications Technologies
Volume 14
Series editor
Fatos Xhafa, Technical University of Catalonia, Barcelona, Spain
e-mail: fatos@cs.upc.edu
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/1536 2
Arun Kumar Sangaiah ⋅ Arunkumar Thangavelu
Venkatesan Meenakshi Sundaram
Editors
Cognitive Computing for Big
Data Systems Over IoT
Frameworks, Tools and Applications
123
Editors
Arun Kumar Sangaiah
School of Computing Science
and Engineering
VIT University
Vellore, Tamil Nadu
India
Arunkumar Thangavelu
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
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-free paper
This Springer imprint is published by Springer Nature
The registered company is Springer International Publishing AG
The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
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