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
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;
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
DOI :
10.1109/ISCRAM.2011.6184142
