• DocumentCode
    511670
  • Title

    Positive and Negative Association Rules Applied in Coal Accidents

  • Author

    Shen, Yanguang ; Liu, Jie ; Li, Hongli

  • Author_Institution
    Sch. of Inf. & Electron. Eng., Hebei Univ. of Eng., Handan, China
  • Volume
    1
  • fYear
    2009
  • fDate
    28-30 Oct. 2009
  • Firstpage
    572
  • Lastpage
    575
  • Abstract
    In view of the forecast of the coal spontaneous combustion, an analysis model to forecast the possibility of coal spontaneous combustion was established. Then, an analysis method of positive and negative association rules based on data mining was proposed. Application of the method can mine rules from the explicit and implicit factors related to coal spontaneous combustion. It can not only overcome the weak point of the traditional association rules method which can only mine the explicit rules, but also output some more meaningful rules, providing scientific basis for controlling coal spontaneous combustion.
  • Keywords
    combustion; data mining; disasters; mining; safety; association rules; coal accident; coal spontaneous combustion; data mining; mine safety; Accidents; Association rules; Combustion; Data mining; Frequency; Load forecasting; Power engineering and energy; Predictive models; Safety; Space technology; coal spontaneous combustion; data mining; mine safety; positive and negative association rules;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-0-7695-3881-5
  • Type

    conf

  • DOI
    10.1109/WCSE.2009.734
  • Filename
    5403403