Chia Nan University of Pharmacy & Science Institutional Repository:Item 310902800/28538
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 18272/20499 (89%)
造访人次 : 13318960      在线人数 : 855
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻
    Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/28538


    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
    Appears in Collections:[多媒體與遊戲發展系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML2834View/Open


    All items in CNU IR are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈