BIG DATA ANALYTICS FOR INTERNET OF THINGS
Discover the latest developments in Io T Big Data with a new resource from established and emerging leaders in the field
Big Data Analytics for Internet of Things delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (Io T) systems. The book includes discussions of the enabling technologies of Io T data analytics, types of Io T data analytics, challenges in Io T data analytics, demand for Io T data analytics, computing platforms, analytical tools, privacy, and security.
The distinguished editors have included resources that address key techniques in the analysis of Io T data. The book demonstrates how to select the appropriate techniques to unearth valuable insights from Io T data and offers novel designs for Io T systems.
With an abiding focus on practical strategies with concrete applications for data analysts and Io T professionals, Big Data Analytics for Internet of Things also offers readers:
* A thorough introduction to the Internet of Things, including Io T architectures, enabling technologies, and applications
* An exploration of the intersection between the Internet of Things and Big Data, including Io T as a source of Big Data, the unique characteristics of Io T data, etc.
* A discussion of the Io T data analytics, including the data analytical requirements of Io T data and the types of Io T analytics, including predictive, descriptive, and prescriptive analytics
* A treatment of machine learning techniques for Io T data analytics
Perfect for professionals, industry practitioners, and researchers engaged in big data analytics related to Io T systems, Big Data Analytics for Internet of Things will also earn a place in the libraries of Io T designers and manufacturers interested in facilitating the efficient implementation of data analytics strategies.
Despre autor
Tausifa Jan Saleem is currently pursuing her Doctor of Philosophy (Ph.D) from National Institute of Technology Srinagar, India. She has received the Bachelor of Technology (B. Tech.) degree in Information Technology (IT) from National Institute of Technology Srinagar, India and the M.Tech. degree in Computer Science from University of Jammu, India. She has published more than 10 research articles in reputed journals (indexed by Scopus and SCI) and conferences (indexed by Scopus). Her research areas of interest include Internet of Things, Data Analytics, Machine Learning, and Deep Learning.
Mohammad Ahsan Chishti, Ph.D, is Dean at the School of Engineering & Technology and Associate Professor in the Department of Information Technology at the Central University of Kashmir. He has published over 100 scholarly papers and holds 12 patents. He is the recipient of ‘Young Engineers Award 2015-2016’ from IEI and ‘Young Scientist Award 2009-2010’ from the government of Jammu and Kashmir. He is a Senior Member of the IEEE, MIEI, MCSI & MIETE.
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