摘要
为研究煤矿隐患数据的挖掘以实现海量隐患数据的有效利用,在分析矿山数据挖掘技术和煤矿隐患数据特点的基础上,提出煤矿隐患数据挖掘是矿山数字化的重要组成部分,给出煤矿隐患数据挖掘的概念,设计了煤矿隐患数据挖掘模型,并进一步分析了适用于煤矿隐患数据的挖掘算法。以关联算法为例,对隐患数据进行多维关联规则挖掘,分析挖掘结果表明隐患多维数据之间存在紧密关联性,能够为煤矿安全决策提供支持。
To study the digging of the mine hidden dangers to have an efficient utilization of the great hidden danger data, based on the analysis on the mine data digging technology and mine hidden danger data features, the paper provided that the digging of the mine hidden danger data would be the important integrated part of the mine digitalization. The paper provided the conception of the mine hidden danger data digging. A mine hidden danger data digging model was designed. The paper further analyzed the digging algorithm suitable for the mine hidden danger data. Taking the association algorithm as a case, multi dimensional association rule digging were conducted for the mine hidden danger data. The analysis results showed that there was close relevance between the mine hidden danger multi dimensional data, which could provide support to the mine safety decision.
出处
《煤炭科学技术》
CAS
北大核心
2010年第3期67-69,27,共4页
Coal Science and Technology
基金
国家重点基础研究发展计划(973计划)资助项目(2007CB209400)
中国矿业大学青年科研基金资助项目(2007A044
2008A045)
关键词
煤矿隐患
数据挖掘
数字矿山
关联规则
决策
mine hidden danger
data digging
digital mine
association rule
decision
