• 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