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請使用永久網址來引用或連結此文件:
https://ir.cnu.edu.tw/handle/310902800/28538
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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 |
| 顯示於類別: | [多媒體與遊戲發展系] 期刊論文
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