Paper Info
Title
Internet of Things and data mining: From applications to techniques and systems
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
Year
DOI
Venue
2019
10.1002/widm.1292
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY
Keywords
Field
DocType
data mining,data streams,edge computing,internet of things
Health care,Edge computing,Energy management,Data mining,Data stream mining,Computer science,Internet of Things,Fog computing,The Internet,Cloud computing
Journal
Volume
Issue
ISSN
9.0
3.0
1942-4787
Citations 
PageRank 
References 
1
0.34
51
Authors
7
Name
Order
Citations
PageRank
Mohamed Medhat Gaber1108171.17
Adel Aneiba221.70
Shadi Basurra310.68
Oliver Batty410.34
Ahmed M. Elmisery5819.06
Yevgeniya Kovalchuk6389.76
Muhammad Habib Ur Rehman715413.92