• DocumentCode
    1752962
  • Title

    Research on Formalism of Temporal Data Mining

  • Author

    Pan, Ding

  • Author_Institution
    Dept. of Marketing, Jinan Univ., Guangzhou
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    4142
  • Lastpage
    4146
  • Abstract
    A fundamental structure for temporal data mining is proposed, based on first-order linear temporal logic, to define the main notion used in temporal knowledge discovery in a formal way. The formalism does not impose what search and optimization method to use to discover temporal rules. The relevant properties of the notion are proved. The concept of linear time structure allows associating each time moment with an assignation of all symbols of a restricted first-order language L, and the measures about the extent of truth of a formula. According to the notions of the mining slice, a process model of continuous data mining is developed
  • Keywords
    data mining; temporal logic; first-order language; first-order linear temporal logic; linear time structure; temporal data mining; temporal knowledge discovery; Computer science; Data mining; Electronic mail; Knowledge management; Logic; Marketing management; Optimization methods; Technology management; Time division multiplexing; Time measurement; data mining; formalism; temporal data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1713154
  • Filename
    1713154