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The Scientific World Journal
Volume 2014, Article ID 926020, 11 pages
http://dx.doi.org/10.1155/2014/926020
Research Article

A Fast Density-Based Clustering Algorithm for Real-Time Internet of Things Stream

Department of Information System, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia

Received 10 April 2014; Accepted 18 May 2014; Published 19 June 2014

Academic Editor: Xudong Zhu

Copyright © 2014 Amineh Amini et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Amineh Amini, Hadi Saboohi, Teh Ying Wah, and Tutut Herawan, “A Fast Density-Based Clustering Algorithm for Real-Time Internet of Things Stream,” The Scientific World Journal, vol. 2014, Article ID 926020, 11 pages, 2014. https://doi.org/10.1155/2014/926020.