Data Mining for Internet of Things: A Survey

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Title:	Data Mining for Internet of Things: A Survey
Authors:	Tsai, Chun-Wei Lai, Chin-Feng Chiang, Ming-Chao Yang, Laurence T.
Contributors:	資訊多媒體應用系
Keywords:	Internet of Things data mining
Date:	2014
Issue Date:	2015-05-06 21:19:52 (UTC+8)
Publisher:	Ieee-Inst Electrical Electronics Engineers Inc
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.
Relation:	Ieee Communications Surveys and Tutorials, v.16 n.1, pp.77-97
Appears in Collections:	[Dept. of Multimedia and Game Development] Periodical Articles

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