Big Data Analytics for Internet of Things

  • 6h 50m
  • Mohammad Ahsan Chishti, Tausifa Jan Saleem
  • John Wiley & Sons (US)
  • 2021


Discover the latest developments in IoT 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 (IoT) systems. The book includes discussions of the enabling technologies of IoT data analytics, types of IoT data analytics, challenges in IoT data analytics, demand for IoT data analytics, computing platforms, analytical tools, privacy, and security.

The distinguished editors have included resources that address key techniques in the analysis of IoT data. The book demonstrates how to select the appropriate techniques to unearth valuable insights from IoT data and offers novel designs for IoT systems.

With an abiding focus on practical strategies with concrete applications for data analysts and IoT professionals, Big Data Analytics for Internet of Things also offers readers:

  • A thorough introduction to the Internet of Things, including IoT architectures, enabling technologies, and applications
  • An exploration of the intersection between the Internet of Things and Big Data, including IoT as a source of Big Data, the unique characteristics of IoT data, etc.
  • A discussion of the IoT data analytics, including the data analytical requirements of IoT data and the types of IoT analytics, including predictive, descriptive, and prescriptive analytics
  • A treatment of machine learning techniques for IoT data analytics

Perfect for professionals, industry practitioners, and researchers engaged in big data analytics related to IoT systems, Big Data Analytics for Internet of Things will also earn a place in the libraries of IoT designers and manufacturers interested in facilitating the efficient implementation of data analytics strategies.

In this Book

  • Big Data Analytics for the Internet of Things: An Overview
  • Data, Analytics and Interoperability Between Systems (IoT) is Incongruous with the Economics of Technology: Evolution of Porous Pareto Partition (P3)
  • Machine Learning Techniques for IoT Data Analytics
  • IoT Data Analytics Using Cloud Computing
  • Deep Learning Architectures for IoT Data Analytics
  • Adding Personal Touches to IoT: A User-Centric IoT Architecture
  • Smart Cities and the Internet of Things
  • A Roadmap for Application of IoT-Generated Big Data in Environmental Sustainability
  • Application of High-Performance Computing in Synchrophasor Data Management and Analysis for Power Grids
  • Intelligent Enterprise-Level Big Data Analytics for Modeling and Management in Smart Internet of Roads
  • Predictive Analysis of Intelligent Sensing and Cloud-Based Integrated Water Management System
  • Data Security in the Internet of Things: Challenges and Opportunities
  • DDoS Attacks: Tools, Mitigation Approaches, and Probable Impact on Private Cloud Environment
  • Securing the Defense Data for Making Better Decisions Using Data Fusion
  • New Age Journalism and Big Data (Understanding Big Data and Its Influence on Journalism)
  • Two Decades of Big Data in Finance: Systematic Literature Review and Future Research Agenda


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