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

Gaber, Mohamed Medhat and Aneiba, Adel and Basurra, Shadi and Batty, Oliver and Elmisery, Ahmed and Kovalchuk, Yevgeniya and Rehman, Muhammad Habib (2018) Internet of Things and data mining: From applications to techniques and systems. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. e1292. ISSN 19424787

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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.

Item Type: Article
Subjects: G700 Artificial Intelligence
Divisions: Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology > Enterprise Systems
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Depositing User: Mohamed Gaber
Date Deposited: 13 Nov 2018 11:37
Last Modified: 13 Nov 2018 11:37
URI: http://www.open-access.bcu.ac.uk/id/eprint/6575

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