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Big Data Analytics for Intelligent Internet of Things

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Book cover Artificial Intelligence in IoT

Abstract

The Internet of Things (IoT) is going to be the next technological revolution. According to the Internet, the revenue generated from IoT products and services are going to be approximately 300 billion in 2020. Simultaneously, with the massive amount of data that the IoT will generate, its impact will be reflected across the entire Big data universe that will coerce the organizations to upgrade current tools and technology to evolve to accommodate this additional data volume and take advantage of the insights. IoT and Big data basically are two sides of the same coin according to some experts. It is a challenging task to manage and extract insights from IoT data. Therefore, a proper analytics platform/infrastructure to analyse the IoT data is a vital aspect for any organization when it is also true that not all IoT data is important.

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Author information

Authors and Affiliations

  1. College of Technology and Design, Canberra Institute of Technology, Canberra, ACT, Australia

    Mohiuddin Ahmed

  2. Department of Computer Science, Lakehead University, Thunder Bay, ON, Canada

    Salimur Choudhury

  3. Department of Computer Engineering, Antalya Bilim University, Antalya, Turkey

    Fadi Al-Turjman

Authors
  1. Mohiuddin Ahmed
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  2. Salimur Choudhury
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  3. Fadi Al-Turjman
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Corresponding author

Correspondence to Fadi Al-Turjman .

Editor information

Editors and Affiliations

  1. Computer Engineering Department, Antalya Bilim University, Antalya, Turkey

    Fadi Al-Turjman

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Ahmed, M., Choudhury, S., Al-Turjman, F. (2019). Big Data Analytics for Intelligent Internet of Things. In: Al-Turjman, F. (eds) Artificial Intelligence in IoT. Transactions on Computational Science and Computational Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-030-04110-6_6

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  • DOI: https://doi.org/10.1007/978-3-030-04110-6_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04109-0

  • Online ISBN: 978-3-030-04110-6

  • eBook Packages: EngineeringEngineering (R0)

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