Applications of Big Data Analytics Trends, Issues, and Challenges
This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and
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Applications of Big Data Analytics Trends, Issues, and Challenges
Applications of Big Data Analytics
Mohammed M. Alani • Hissam Tawfik Mohammed Saeed • Obinna Anya Editors
Applications of Big Data Analytics Trends, Issues, and Challenges
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Editors Mohammed M. Alani Al Khawarizmi International College Abu Dhabi, UAE
Hissam Tawfik Leeds Beckett University Leeds, UK
Mohammed Saeed University of Modern Sciences Dubai, UAE
Obinna Anya IBM Research San Jose, CA, USA
ISBN 978-3-319-76471-9 ISBN 978-3-319-76472-6 (eBook) https://doi.org/10.1007/978-3-319-76472-6 Library of Congress Control Number: 2018943141 © Springer International Publishing AG, part of Springer Nature 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 the registered company Springer International Publishing AG part of Springer Nature. The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
Big Data comes in high volume, velocity, and veracity, and from myriad sources, including log files, social media, apps, IoT, text, video, image, GPS, RFID, and smart cards. The process of storing and analyzing such data exceeds the capabilities of traditional database management systems and methods, and has given rise to a wide range of new technologies, platforms, and services—referred to as Big Data Analytics. Although the potential value of Big Data is enormous, the process and applications of Big Data Analytics have raised significant concerns and challenges across scientific, social science, and business communities. This book presents the current progress on challenges related to applications of Big Data Analytics by focusing on practical issues and concerns, such as the practical applications of predictive and prescriptive analytics especially in the health and disaster management domains, syst
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