Applications of Big Data Analytics

Trends, Issues, and Challenges

Editors: Alani, M.M., Tawfik, H., Saeed, M., Anya, O. (Eds.)

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  • Covers a diverse selection of applications of big data
  • Addresses the sensitive topic of big data collection and privacy
  • Explores the future potential of big data, and how the world can benefit from the large amounts of data being collected
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Hardcover $139.99
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About this book

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 analyzing big data, together with valuable insights into the challenges inherent in current approaches and systems. This is further supported by real-world examples drawn from a broad range of application areas, including healthcare, education, and disaster management. The text also covers, typically from an application-oriented perspective, advances in data science in such areas as big data collection, searching, analysis, and knowledge discovery.

Topics and features:

  • Discusses a model for data traffic aggregation in 5G cellular networks, and a novel scheme for resource allocation in 5G networks with network slicing
  • Explores methods that use big data in the assessment of flood risks, and apply neural networks techniques to monitor the safety of nuclear power plants
  • Describes a system which leverages big data analytics and the Internet of Things in the application of drones to aid victims in disaster scenarios
  • Proposes a novel deep learning-based health data analytics application for sleep apnea detection, and a novel pathway for diagnostic models of headache disorders
  • Reviews techniques for educational data mining and learning analytics, and introduces a scalable MapReduce graph partitioning approach for high degree vertices
  • Presents a multivariate and dynamic data representation model for the visualization of healthcare data, and big data analytics methods for software reliability assessment
This practically-focused volume is an invaluable resource for all researchers, academics, data scientists and business professionals involved in the planning, designing, and implementation of big data analytics projects.

Dr. Mohammed M. Alani is an Associate Professor in Computer Engineering and currently is the Provost at Al Khawarizmi International College, Abu Dhabi, UAE. Dr. Hissam Tawfik is a Professor of Computer Science in the School of Computing, Creative Technologies & Engineering at Leeds Beckett University, UK. Dr. Mohammed Saeed is a Professor in Computing and currently is the Vice President for Academic Affairs and Research at the University of Modern Sciences, Dubai, UAE. Dr. Obinna Anya is a Research Staff Member at IBM Research – Almaden, San Jose, CA, USA.

About the authors

Dr. Mohammed M. Alani is an Associate Professor in Computer Engineering and currently is the Provost at Al Khawarizmi International College, Abu Dhabi, UAE.

Dr. Hissam Tawfik is a Professor of Computer Science in the School of Computing, Creative Technologies & Engineering at Leeds Beckett University, UK.

Dr. Mohammed Saeed is a Professor in Computing and currently is the Vice President for Academic Affairs and Research at the University of Modern Sciences, Dubai, UAE.

Dr. Obinna Anya is a Research Staff Member at IBM Research – Almaden, San Jose, CA, USA.

Table of contents (10 chapters)

Table of contents (10 chapters)
  • Big Data Environment for Smart Healthcare Applications Over 5G Mobile Network

    Dighriri, Mohammed (et al.)

    Pages 1-29

  • Challenges and Opportunities of Using Big Data for Assessing Flood Risks

    Monrat, Ahmed Afif (et al.)

    Pages 31-42

  • A Neural Networks Design Methodology for Detecting Loss of Coolant Accidents in Nuclear Power Plants

    Tian, David (et al.)

    Pages 43-61

  • Evolutionary Deployment and Hill Climbing-Based Movements of Multi-UAV Networks in Disaster Scenarios

    Reina, D. G. (et al.)

    Pages 63-95

  • Detection of Obstructive Sleep Apnea Using Deep Neural Network

    Alsalamah, Mashail (et al.)

    Pages 97-120

Buy this book

eBook $84.99
price for USA in USD (gross)
  • ISBN 978-3-319-76472-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.99
price for USA in USD
  • ISBN 978-3-319-76471-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Applications of Big Data Analytics
Book Subtitle
Trends, Issues, and Challenges
Editors
  • Mohammed M. Alani
  • Hissam Tawfik
  • Mohammed Saeed
  • Obinna Anya
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-76472-6
DOI
10.1007/978-3-319-76472-6
Hardcover ISBN
978-3-319-76471-9
Edition Number
1
Number of Pages
XII, 214
Number of Illustrations
26 b/w illustrations, 70 illustrations in colour
Topics