Application of Apriori Algorithm to the Data Mining of the Wildfire

Traditional methods for forest fire forecast applying the weather data is only used to prediction for a administrative division of province level, and it is not favorite to the forest farm level, for there is not accurate forest fire with lacking of forest fire monitoring. In this theme, Apriori, an association rule algorithm, is applied to analysis the probability and intensity of the forest fire effectively with coarse forest fire data. It makes the forest farms possible to predict the forest fire applying the coarse weather data.