• DocumentCode
    2496455
  • Title

    The Application of Data Mining Technology in the Mining Safety Management

  • Author

    Liu, Kainan ; Zhang, Fengyan ; Zhang, Meiyun ; Hou, Yunbing

  • Author_Institution
    Civil & Environ. Eng. Sch., Univ. of Sci. & Technol. Beijing, Beijing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    24-25 April 2010
  • Firstpage
    150
  • Lastpage
    153
  • Abstract
    The safety analysis methods of the current management of traditional safety system that are the method of the fault tree analysis (FTA) and the information system of safety management (monitoring) are integrated and optimized by applying the data mining association algorithm. The new theoretical model of the management of the mining safety system is established to avoid the shortcomings that are omissions, errors, and only consider the (0, 1) state of the drawbacks of the incident existed in FTA, that improves the security management system (monitoring), empirical, passive lack of processing capacity. And the new ways are proposed to update the knowledgebase of the security system, and the evaluation of the management of the safety system is made initiative and intelligent by applying the data mining technique and the association algorithm.
  • Keywords
    data mining; fault trees; mining; occupational safety; process monitoring; data mining technology; fault tree analysis; information system; knowledge base; mining safety management; monitoring; safety analysis; safety system; Algorithm design and analysis; Data mining; Data security; Fault trees; Information analysis; Management information systems; Monitoring; Safety; Technology management; US Department of Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Information Technology (MMIT), 2010 Second International Conference on
  • Conference_Location
    Kaifeng
  • Print_ISBN
    978-0-7695-4008-5
  • Electronic_ISBN
    978-1-4244-6602-3
  • Type

    conf

  • DOI
    10.1109/MMIT.2010.61
  • Filename
    5474347