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

Mohamed Medhat Gaber*, Adel Aneiba, Shadi Basurra, Oliver Batty, Ahmed Elmesiry, Yevgeniya Kovalchuk, Muhammad Habib Ur Rehman

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

4 Citations (Scopus)


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.

Original languageEnglish
Article numbere1292
Number of pages21
JournalWiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Issue number3
Early online date9 Nov 2018
Publication statusPublished - 1 May 2019
Externally publishedYes


  • data mining
  • data streams
  • edge computing
  • internet of things


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