In order to solve the problems of poor classification ability and high cumulative distribution of early warning false alarms in the pub-lic emergency crisis early warning system of electric furnace enterprises,a big data hybrid structure of electric furnace enterprise public emer-gency crisis early warning system is studied.A new system structure is constructed by adopting the big data mixed structure combining C/S structure,B/S structure and big data database,so as to design the system function module,classify the events by decision tree algorithm,and realize the public emergency crisis warning of electric furnace enterprises.The results show that this method accurately classifies event sam-ples,and the cumulative distribution ratio of early warning false positives is below 2.0％,and the value does not fluctuate significantly,which proves that it improves the event classification ability and reduces the cumulative distribution ratio of early warning false positives,thus impro-ving the crisis warning performance,and has higher application value.
关键词
大数据混合结构/电炉企业公共突发事件/危机预警系统/决策树/信息增益
Key words
mixed structure of big data/public emergencies of electric furnace enterprises/crisis early warning system/decision tree/infor-mation gain
维普
万方数据