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Internet of Things and data mining: From applications to techniques and systems
Author(s) -
Gaber Mohamed Medhat,
Aneiba Adel,
Basurra Shadi,
Batty Oliver,
Elmisery Ahmed M.,
Kovalchuk Yevgeniya,
Rehman Muhammad Habib Ur
Publication year - 2018
Publication title -
wiley interdisciplinary reviews: data mining and knowledge discovery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.506
H-Index - 47
eISSN - 1942-4795
pISSN - 1942-4787
DOI - 10.1002/widm.1292
Subject(s) - cloud computing , computer science , internet of things , data science , big data , realization (probability) , enhanced data rates for gsm evolution , the internet , edge computing , distributed computing , data mining , computer security , world wide web , telecommunications , statistics , mathematics , operating system
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