DocumentCode :
108540
Title :
Data Mining for Internet of Things: A Survey
Author :
Chun-Wei Tsai ; Chin-Feng Lai ; Ming-Chao Chiang ; Yang, L.T.
Author_Institution :
Dept. of Appl. Inf. & Multimedia, Chia Nan Univ. of Pharmacy & Sci., Tainan, Taiwan
Volume :
16
Issue :
1
fYear :
2014
fDate :
First Quarter 2014
Firstpage :
77
Lastpage :
97
Abstract :
It sounds like mission impossible to connect everything on the Earth together via Internet, but Internet of Things (IoT) will dramatically change our life in the foreseeable future, by making many "impossibles" possible. To many, the massive data generated or captured by IoT are considered having highly useful and valuable information. Data mining will no doubt play a critical role in making this kind of system smart enough to provide more convenient services and environments. This paper begins with a discussion of the IoT. Then, a brief review of the features of "data from IoT" and "data mining for IoT\´ is given. Finally, changes, potentials, open issues, and future trends of this field are addressed.
Keywords :
Internet of Things; data mining; Internet of things; data mining; Clustering algorithms; Data handling; Data mining; Data storage systems; Information management; Internet; Wireless sensor networks; Internet of Things; data mining;
fLanguage :
English
Journal_Title :
Communications Surveys & Tutorials, IEEE
Publisher :
ieee
ISSN :
1553-877X
Type :
jour
DOI :
10.1109/SURV.2013.103013.00206
Filename :
6674155
Link To Document :
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