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A Fast Density-Based Clustering Algorithm for Real-Time Internet of Things Stream
Joint Authors
Herawan, Tutut
Teh, Ying-Wah
Amini, Amineh
Saboohi, Hadi
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-18
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Data streams are continuously generated over time from Internet of Things (IoT) devices.
The faster all of this data is analyzed, its hidden trends and patterns discovered, and new strategies created, the faster action can be taken, creating greater value for organizations.
Density-based method is a prominent class in clustering data streams.
It has the ability to detect arbitrary shape clusters, to handle outlier, and it does not need the number of clusters in advance.
Therefore, density-based clustering algorithm is a proper choice for clustering IoT streams.
Recently, several density-based algorithms have been proposed for clustering data streams.
However, density-based clustering in limited time is still a challenging issue.
In this paper, we propose a density-based clustering algorithm for IoT streams.
The method has fast processing time to be applicable in real-time application of IoT devices.
Experimental results show that the proposed approach obtains high quality results with low computation time on real and synthetic datasets.
American Psychological Association (APA)
Amini, Amineh& Saboohi, Hadi& Teh, Ying-Wah& Herawan, Tutut. 2014. A Fast Density-Based Clustering Algorithm for Real-Time Internet of Things Stream. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1051630
Modern Language Association (MLA)
Amini, Amineh…[et al.]. A Fast Density-Based Clustering Algorithm for Real-Time Internet of Things Stream. The Scientific World Journal No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1051630
American Medical Association (AMA)
Amini, Amineh& Saboohi, Hadi& Teh, Ying-Wah& Herawan, Tutut. A Fast Density-Based Clustering Algorithm for Real-Time Internet of Things Stream. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1051630
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051630