Disaster prediction of coal mine gas based on data
mining
SHAO Liang-shan;FU Gui-xiang
【期刊名称】《煤炭学报：英文版》 【年(卷),期】2008(014)003
【摘要】The technique of data mining was provided to predict gas disaster in view of thecharacteristics of coal mine gas disaster and feature knowledge based on gas disaster.The rough set theory was used to establish data mining model of gas disaster prediction,and rough set attributes relations was discussed in prediction model of gas disaster tosupplement the shortages of rough intensive reduction method by using information en-tropy criteria. The effectiveness and practicality of data mining technology in the predictionof gas disaster is confirmed through practical application. 【总页数】6页(458-463)
【关键词】disaster prediction;coal mine gas;data mining;rough set theory
【作者】SHAO Liang-shan;FU Gui-xiang
【作者单位】Liaoning Technical University, Fuxin 123000, China;Kailuan Group Company, Tangshan 063018, China 【正文语种】中文 【中图分类】TQ53
Disaster prediction of coal mine gas based on data mining
