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Big Data for the Greater Good

  • Ali Emrouznejad
  • Vincent Charles

Part of the Studies in Big Data book series (SBD, volume 42)

Table of contents

  1. Front Matter
    Pages i-x
  2. Vincent Charles, Ali Emrouznejad
    Pages 1-18
  3. Vincent Charles, Tatiana Gherman
    Pages 19-33
  4. Celia Satiko Ishikiriyama, Carlos Francisco Simoes Gomes
    Pages 35-50
  5. Marketa Janatova, Miroslav Uller, Olga Stepankova, Peter Brezany, Marek Lenart
    Pages 101-127
  6. Pythagoras Karampiperis, Rob Lokers, Pascal Neveu, Odile Hologne, George Kakaletris, Leonardo Candela et al.
    Pages 129-150
  7. Danica Vukadinović Greetham, Laura Hattam
    Pages 151-169
  8. Kurt Nielsen
    Pages 183-204

About this book

Introduction

This book highlights some of the most fascinating current uses, thought-provoking changes, and biggest challenges that Big Data means for our society. The explosive growth of data and advances in Big Data analytics have created a new frontier for innovation, competition, productivity, and well-being in almost every sector of our society, as well as a source of immense economic and societal value. From the derivation of customer feedback-based insights to fraud detection and preserving privacy; better medical treatments; agriculture and food management; and establishing low-voltage networks – many innovations for the greater good can stem from Big Data. Given the insights it provides, this book will be of interest to both researchers in the field of Big Data, and practitioners from various fields who intend to apply Big Data technologies to improve their strategic and operational decision-making processes.


Keywords

Big Data challenges Data Science Data Analytics Big Data for the Public Big Data for the Common Good

Editors and affiliations

  • Ali Emrouznejad
    • 1
  • Vincent Charles
    • 2
  1. 1.Operations and Information Management, Aston Business SchoolAston UniversityBirminghamUnited Kingdom
  2. 2.Buckingham Business SchoolUniversity of BuckinghamBuckinghamUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-93061-9
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2019
  • Publisher Name Springer, Cham
  • eBook Packages Intelligent Technologies and Robotics
  • Print ISBN 978-3-319-93060-2
  • Online ISBN 978-3-319-93061-9
  • Series Print ISSN 2197-6503
  • Series Online ISSN 2197-6511
  • Buy this book on publisher's site