• DocumentCode
    694413
  • Title

    Contrast and study on binary AprioriAll sequence mining algorithm of IOT massive information processing

  • Author

    Jia Ji ; Wang Yan ; Wenyon Wang ; Zhao Tong

  • Author_Institution
    Inst. of Inf. & Software Eng., Northeast Normal Univ., Changchun, China
  • fYear
    2013
  • fDate
    12-13 Oct. 2013
  • Firstpage
    467
  • Lastpage
    470
  • Abstract
    This paper introduced the concept and the Technical architecture system of IOT, Analysis the current development of IOT and the relative shortage of relying on technology influences the development of IOT, studied on the technology of data mining applications with IOT massive information processing, improved the original AprioriAll sequence mining algorithm, created a new Binary AprioriAll sequence mining algorithm. The improved algorithm improves the efficiency of the algorithm by reducing the number of sequences in the database.
  • Keywords
    Internet of Things; data mining; IOT massive information processing; binary AprioriAll sequence mining algorithm; data mining applications; technical architecture system; Algorithm design and analysis; Computer architecture; Data mining; Databases; Information processing; Internet of Things; Data mining; IOT; Massive information processing; Sequence mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
  • Conference_Location
    Dalian
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2013.6967155
  • Filename
    6967155