Editors:
- 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
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (10 chapters)
-
Front Matter
-
Back Matter
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
Editors and Affiliations
-
Al Khawarizmi International College, Abu Dhabi, United Arab Emirates
Mohammed M. Alani
-
Leeds Beckett University, Leeds, United Kingdom
Hissam Tawfik
-
University of Modern Sciences, Dubai, United Arab Emirates
Mohammed Saeed
-
IBM Research, San Jose, USA
Obinna Anya
About the editors
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.
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
DOI: https://doi.org/10.1007/978-3-319-76472-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-76471-9Published: 06 August 2018
Softcover ISBN: 978-3-030-09497-3Published: 09 February 2019
eBook ISBN: 978-3-319-76472-6Published: 23 July 2018
Edition Number: 1
Number of Pages: XII, 214
Number of Illustrations: 26 b/w illustrations, 70 illustrations in colour
Topics: Big Data, Pattern Recognition, Information Storage and Retrieval, Computer Communication Networks, Algorithm Analysis and Problem Complexity, Big Data/Analytics