Data Mining for Internet of Things: A Survey

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標題:	Data Mining for Internet of Things: A Survey
作者:	Tsai, Chun-Wei Lai, Chin-Feng Chiang, Ming-Chao Yang, Laurence T.
貢獻者:	資訊多媒體應用系
關鍵字:	Internet of Things data mining
日期:	2014
上傳時間:	2015-05-06 21:19:52 (UTC+8)
出版者:	Ieee-Inst Electrical Electronics Engineers Inc
摘要:	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.
關聯:	Ieee Communications Surveys and Tutorials, v.16 n.1, pp.77-97
显示于类别:	[多媒體與遊戲發展系] 期刊論文

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