Applications of Big Data in Large- and Small-Scale Systems

Applications of Big Data in Large- and Small-Scale Systems

Sam Goundar (British University Vietnam, Vietnam) and Praveen Kumar Rayani (National Institute of Technology, Durgapur, India)
Release Date: January, 2021|Copyright: © 2021 |Pages: 377|DOI: 10.4018/978-1-7998-6673-2
ISBN13: 9781799866732|ISBN10: 1799866734|EISBN13: 9781799866756|ISBN13 Softcover: 9781799866749
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Description

With new technologies, such as computer vision, internet of things, mobile computing, e-governance and e-commerce, and wide applications of social media, organizations generate a huge volume of data and at a much faster rate than several years ago. Big data in large-/small-scale systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business intelligence. From governments to private organizations, from communities to individuals, all areas are being affected by this shift. There is a high demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event prediction. To handle this demand and this increase in big data, there needs to be research on innovative and optimized machine learning algorithms in both large- and small-scale systems.

Applications of Big Data in Large- and Small-Scale Systems includes state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of big data and presents the latest innovative and intelligent applications related to big data. This book encompasses big data in various multidisciplinary fields from the medical field to agriculture, business research, and smart cities. While highlighting topics including machine learning, cloud computing, data visualization, and more, this book is a valuable reference tool for computer scientists, data scientists and analysts, engineers, practitioners, stakeholders, researchers, academicians, and students interested in the versatile and innovative use of big data in both large-scale and small-scale systems.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Big Data
  • Business Intelligence
  • Cloud Computing
  • Data Analytics
  • Data Visualization
  • Econometrics
  • Healthcare
  • Image Processing
  • Internet of Things
  • Machine Learning
  • Smart Cities
  • Soft Computing

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Dr. Sam Goundar is an Editor-in-Chief of the International Journal of Blockchains and Cryptocurrencies (IJFC) – Inderscience Publishers, Editor-in-Chief of the International Journal of Fog Computing (IJFC) – IGI Publishers, Section Editor of the Journal of Education and Information Technologies (EAIT) – Springer and Editor-in-Chief (Emeritus) of the International Journal of Cloud Applications and Computing (IJCAC) – IGI Publishers. He is also on the Editorial Review Board of more than 20 high impact factor journals.As a researcher, apart from Blockchains, Cryptocurrencies, Fog Computing, Mobile Cloud Computing and Cloud Computing, Dr. Sam Goundar also researches in Educational Technology, MOOCs, Artificial Intelligence, ICT in Climate Change, ICT Devices in the Classroom, Using Mobile Devices in Education, e-Government, and Disaster Management. He has published on all these topics. He was a Research Fellow with the United Nations University.He is a Senior Lecturer in IS at The University of the South Pacific, Adjunct Lecturer in IS at Victoria University of Wellington and an Affiliate Professor of Information Technology at Pontificia Universidad Catolica Del Peru.