Application of Apriori Algorithm to Analysis of Wildfire and Weather
Zhongke Feng · Forest Resources Management · 2008
Traditional method of applying the weather data to forest fire forecast is only used for the prediction for an administrative division of provincial level,and it is not suitable for the forest farm level because there are not accurate forest fire data and effective means of forest fire monitoring.In this paper,Apriori,an association rule algorithm,is applied to analysis of the probability and intensity of the forest fires in Fangshan District in Beijing,and the results show that Apriori can forecast forest fire effectively with coarse forest fire data.It makes the forest farms possible to predict the forest fire by applying the weather data.