Abstract：In order to meet the needs of modern society for weather forecast and early warning service, a real-time weather forecast and abnormal weather early warning system was researched and implemented in the Android system. Based on the decision tree algorithm of C4.5 algorithm, the warning classification problem was resolved. By means of extracting the attributes with maximum gain rate as the features of training sample, a decision tree was built. A model of decision tree was got by the pruning weather warning evaluation and analysis and application were made on this model. The experimental results show that this method has advantages in the assessment of classification accuracy, with correct classification rate up to 85.8%.
唐慧强 杭丽娜 范海娟. 基于C4.5决策树算法的天气预警系统的手机终端设计[J]. 计算机应用, 2013, 33(05): 1467-1481.
TANG Huiqiang HANG Lina FAN Haijuan. Design of mobile phone terminal of weather warning system based on C4.5 decision tree. Journal of Computer Applications, 2013, 33(05): 1467-1481.
2013, Vol. 33 
