A method of generating national snow-cover model based on C4.5 algorithm of decision tree
Kai Chen · Electronic Design Engineering · 2014
The C4.5 algorithm of decision tree is one of classic data mining algorithms to analysis data classification.After the introduction of commonly used decision tree algorithms,a method of generating national snow-cover model based on C4.5 algorithm with the national meteorological stations recorded data of 1971-2000 is proposed in this paper.Experiments show that the accuracy rate of prediction of snow-cover distribution achieves 83.96%,which means that the method can be used to assist system to make reasonable decision in the project like the detection of snow-cover in the remote sensing images.