Abstract: According to the characteristics of coal and gas outburst monitoring data, a method of isolated point mining based on local isolated factor and correlation subspace is presented, and the isolated point detection and reasons analysis based on data stream are realized. Based on the actual monitoring data of a coal mine in Fushun City, this paper predicts the coal and gas outburst, and illustrates that the coal and gas outburst early warning based on isolated point mining of data stream is feasible.