Disaster prediction of coal mine gas based on data mining

被引：9

作者：

邵良杉 ^{[1
]}

付贵祥 ^{[1
,2
]}

机构：

[1] Liaoning Technical University,Fuxin 123000,China

[2] Kailuan Group Company,Tangshan 063018,China

来源：

International Journal of Coal Science & Technology | 2008年 / 03期

基金：

中国国家自然科学基金;

关键词：

disaster prediction; coal mine gas; data mining; rough set theory;

D O I：

暂无

中图分类号：

TD712 [矿井瓦斯];

学科分类号：

081903 ;

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 criteria.The effectiveness and practicality of data mining technology in the prediction of gas disaster is confirmed through practical application.

引用

页码：458 / 463

页数：6

共 3 条

[1] 基于Web挖掘的虚拟企业合作伙伴选择决策支持系统研究 [J].