A safety evaluation method of mine pressure based on data stream classification
Gang Sun, Zhongxin Wang, Jia Zhao, Hao Henry Wang, Chuanyun Ni, Jie Bai, Nannan Wu · 2017
Mine pressure monitoring data is essentially a data stream, the safety evaluation of mine pressure can be seen as data stream classification, and classification labels are safety and unsafety. The safety evaluation method of mine pressure based on random decision tree is proposed in the paper, and the method determines the split point by Hoeffding Bounds inequality and information entropy instead of random selection. Experimental results show that the method has better accuracy for data stream classification; and it can be applied to the safety evaluation of mine pressure.