摘要
系统介绍数据挖掘的概念、常用的挖掘工具和算法。运用R语言对"平煤四矿"矿井监测系统的数据进行深入挖掘和分析。对工作面环境参数进行关联规则分析,挖掘参数之间的强规则。对某特定工作面瓦斯浓度进行回归预测分析,确定主要影响因素。此外并对挖掘的结果进行专业分析,结合矿井实际情况提出意见和建议。进一步辅助矿井安全生产决策,提高矿井安全管理技术。
The system introduces the concept of data mining,common data mining tools and algorithms,using R language to do the in-depth mining and analysis on the basis of the data from mine monitoring system of＂Pingdingshan No.4 Coal Mine＂. We analyzed the association rules of mining environment parameters,excavating strong rules between the mining parameters. For a certain working face,we did regression forecast analysis to gas concentration and determining the main influencing factors. In addition,we did the professional analysis to the results of the mining,putting forward opinions and suggestions combining with the actual situation of the coal mine,helping them to make safety production decisions,and improving safety management technology of coal mine.
出处
《华北科技学院学报》
2016年第3期87-92,101,共7页
Journal of North China Institute of Science and Technology
基金
中央高校基本科研业务费资助(3142015057)
关键词
煤矿安全
数据挖掘
相关规则
回归分析
coal mine safety
data mining
related rules
regression analysis
