A cooperative multi-classifier method for local area meteorological data mining
Shaohua Teng, Jihui Fan, Haibin Zhu, Wei Zhang, Dongning Liu, Xiao Chen, Xiufen Fu · 2014
Natural disasters can lead to severe losses in human life and property. Because many factors combine in a disaster, such events are difficult to forecast accurately. A cooperative multi-classifier method is proposed in this paper to mine local area meteorological data. The proposed method is verified by the implementation of both base and integration classifiers. Experimental results indicate that our proposed method has higher classification accuracy and faster grouping ability compared with conventional classifiers.