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文章简述了一种适合煤矿隐患数据的Apriori改进算法,然后根据煤矿作业场所安全隐患数据信息的特点进行数据预处理,包括数据的导入和提取,将算法嵌入到某煤矿的隐患排查系统,在此之后是基于Apriori改进算法的煤矿隐患数据关联规则挖掘的实现,得到煤矿隐患内部有价值的关联规则,为企业在隐患管理和预防方面提供改进建议,从而最终对防止事故的发生、降低事故损失有着重要的实际意义。
In this paper, an improved Apriori algorithm for coalmine risk data is briefly introduced. Then the data preprocessing is carried out according to the characteristics of data of potential safety hazards in the coal mine site, including data import and extraction, embedding the algorithm into a coal mine risk screening system, This is followed by Apriori algorithm to improve the mining of coal mine data association rules to achieve the realization of mine hidden dangers valuable internal association rules for the enterprise in risk management and prevention to provide recommendations for improvement, and ultimately to prevent the occurrence of accidents and reduce accident losses Has important practical significance.