Disaster prediction of coal mine gas based on data mining

作     者：邵良杉 付贵祥 

作者机构：Liaoning Technical UniversityFuxin 123000China Kailuan Group CompanyTangshan 063018China 

出 版 物：《Journal of Coal Science & Engineering(China)》 (煤炭学报（英文版）)

年 卷 期：2008年第14卷第3期

页      面：458-463页

学科分类：0819[工学-矿业工程] 081903[工学-安全技术及工程] 08[工学] 

基　　金：the National Natural Science Foundation of China(70572070) the Liaoning Province Talents Fund Projects(2005219005) the Technology Key Project of Liaoning Province(2006220019) 

主　　题：disaster prediction coal mine gas data mining rough set theory 

摘      要：The technique of data mining was provided to predict gas disaster in view of the characteristics 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 to supplement the shortages of rough intensive reduction method by using information en- tropy *** effectiveness and practicality of data mining technology in the prediction of gas disaster is confirmed through practical application.