• DocumentCode
    1824193
  • Title

    Research of fire predicting model based association rule data mining

  • Author

    Li Jun ; Song Wen-long ; Song Yan ; Jiang Jin-gui

  • Author_Institution
    Coll. of Mech. & Electr. Eng., Northeast Forestry Univ., Harbin, China
  • fYear
    2011
  • fDate
    25-27 Nov. 2011
  • Firstpage
    418
  • Lastpage
    421
  • Abstract
    Some countries in the world have different the degree of fires every year, it caused the serious damage to the ecological environment, not only losing huge resources, but wasting a lot of manpower and material resources. A new approach to forecast fire information is presented in this paper, which will provide efficient theoretical support and technical guidance.
  • Keywords
    data mining; ecology; fires; ecological environment; fire information; fire predicting model based association rule data mining; Association rules; Educational institutions; Fires; Forecasting; Humans; Indexes; Association rule; Data mining; Fire; Forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Systems for Crisis Response and Management (ISCRAM), 2011 International Conference on
  • Conference_Location
    Harbin, Heilongjiang
  • Print_ISBN
    978-1-4577-0369-0
  • Type

    conf

  • DOI
    10.1109/ISCRAM.2011.6184142
  • Filename
    6184142
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1824193