• DocumentCode
    2522289
  • Title

    Research on data mining models for the internet of things

  • Author

    Bin, Shen ; Yuan, Liu ; Xiaoyi, Wang

  • Author_Institution
    Ningbo Inst. of Technol., Zhejiang Univ., Ningbo, China
  • fYear
    2010
  • fDate
    9-11 April 2010
  • Firstpage
    127
  • Lastpage
    132
  • Abstract
    In this paper, we propose four data mining models for the Internet of Things, which are multi-layer data mining model, distributed data mining model, Grid based data mining model and data mining model from multi-technology integration perspective. Among them, multi-layer model includes four layers: (1) data collection layer, (2) data management layer, (3) event processing layer, and (4) data mining service layer. Distributed data mining model can solve problems from depositing data at different sites. Grid based data mining model allows Grid framework to realize the functions of data mining. Data mining model from multi-technology integration perspective describes the corresponding framework for the future Internet. Several key issues in data mining of IoT are also discussed.
  • Keywords
    Internet; data mining; data collection layer; data management layer; data mining service layer; distributed data mining model; event processing layer; grid based data mining model; internet of things; multilayer data mining model; multitechnology integration perspective; Communications technology; Data mining; Educational institutions; IP networks; Intelligent sensors; Internet; Mobile communication; Pervasive computing; Radiofrequency identification; Technology management; Internet of Things; RFID technology; data mining models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Signal Processing (IASP), 2010 International Conference on
  • Conference_Location
    Zhejiang
  • Print_ISBN
    978-1-4244-5554-6
  • Electronic_ISBN
    978-1-4244-5556-0
  • Type

    conf

  • DOI
    10.1109/IASP.2010.5476146
  • Filename
    5476146