关联规则挖掘技术在煤矿安全预警系统中的应用研究

基金项目:

河南省教育厅自然科学研究项目(200510460015)

详细信息

Application Research of Data Mining Technology with Association Rules in Early-warning System for Coal Mine Safety

摘要: 针对煤矿安全预警数据多源异构的特点,文章提出了一种采用关联规则挖掘技术对煤矿安全预警系统参数进行数据挖掘的设计方案,给出了关联规则挖掘模型及其算法分析,详细介绍了关联规则算法中的Apriori算法在煤矿安全预警系统中的应用及实现。仿真结果表明,该方案性能良好,是煤矿安全综合评价的一种有效方法。
- 煤矿安全 /
- 关联规则 /
- 预警系统 /
- 数据挖掘 /
- Apriori算法
Abstract: For the characteristics of multi-source heterogeneous of early-warning data of coal mine safety,the paper proposed a design scheme that using data mining technology with association rules to make data mining for parameters of early-warning system of coal mine safety.It gave mining model of association rules and its algorithm analysis,introduced application and implementation of Apriori algorithm in association rules algorithm in early-warning system of coal mine safety in details.The simulation result showed that the scheme has good performance,which is a effective method of comprehensive evaluation for coal mine safety.
- coal mine safety /
- association rule /
- early-warning system /
- data mining /
- Apriori algorithm