Volume 9, Issue 3 e1292
Advanced Review

Internet of Things and data mining: From applications to techniques and systems

Mohamed Medhat Gaber

Corresponding Author

Mohamed Medhat Gaber

School of Computing and Digital Technology, Birmingham City University, Birmingham, UK

Correspondence

Mohamed Medhat Gaber, School of Computing and Digital Technology, Birmingham City University, Birmingham, UK.

Email: [email protected]

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Adel Aneiba

Adel Aneiba

School of Computing and Digital Technology, Birmingham City University, Birmingham, UK

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Shadi Basurra

Shadi Basurra

School of Computing and Digital Technology, Birmingham City University, Birmingham, UK

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Oliver Batty

Oliver Batty

School of Computing and Digital Technology, Birmingham City University, Birmingham, UK

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Ahmed M. Elmisery

Ahmed M. Elmisery

School of Science and Technology, Nottingham Trent University, Nottingham, UK

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Yevgeniya Kovalchuk

Yevgeniya Kovalchuk

School of Computing and Digital Technology, Birmingham City University, Birmingham, UK

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Muhammad Habib Ur Rehman

Muhammad Habib Ur Rehman

Department of Computer Science, National University of Computer and Emerging Sciences, Lahore, Pakistan

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First published: 09 November 2018
Citations: 25

Abstract

The Internet of Things (IoT) is the result of the convergence of sensing, computing, and networking technologies, allowing devices of varying sizes and computational capabilities (things) to intercommunicate. This communication can be achieved locally enabling what is known as edge and fog computing, or through the well-established Internet infrastructure, exploiting the computational resources in the cloud. The IoT paradigm enables a new breed of applications in various areas including health care, energy management and smart cities. This paper starts off with reviewing these applications and their potential benefits. Challenges facing the realization of such applications are then discussed. The sheer amount of data stemmed from devices forming the IoT requires new data mining systems and techniques that are discussed and categorized later in this paper. Finally, the paper is concluded with future research directions.

This article is categorized under:

  • Fundamental Concepts of Data and Knowledge > Big Data Mining
  • Application Areas > Health Care
  • Application Areas > Industry Specific Applications

Graphical Abstract

Paper Structure.

CONFLICT OF INTEREST

The authors have declared no conflicts of interest for this article.