关联规则挖掘在煤矿安全监测中的应用

Application of Association Rules Mining in Mine Safety Monitoring

为了从大量的煤矿安全监测数据中获取有用的知识,来指导煤矿安全预警工作,本文将关联规则挖掘算法应用于安全监测数据的数据挖掘。根据数据的特点,对数据进行了预处理后,采用了多维关联规则挖掘算法。文章设计并实现了安全监测数据的关联规则挖掘系统。通过该系统,用户在设置最小支持度和最小置信度阈值后,就可以挖掘出关联规则。

To get useful knowledge from large amount data of mining safety monitoring,and Guide the work of coal mine safety warning,this paper applies association rules in the data mining of mine safety monitoring.Using the data features,it chooses multidimensional association rules mining algorithm after preprocessing.The paper design and realized an association rules mining system for the safety monitoring data.Trough this system,users can mine association rules after setting the minimum support and minimum confidence threshold.