期刊文献+

基于关联规则挖掘的调车作业事故原因分析

Accident analysis in railway shunting operation based on association rules mining
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摘要 数据挖掘技术在各行各业得到广泛的应用,铁路调车作业的安全是铁路系统中非常重要的方面,将数据挖掘技术中的关联规则挖掘运用到调车作业事故原因分析当中,能够找出事故因素之间的联系,管理部门可根据分析结果,有针对性地进行整改,以提高生产效率和降低调车事故发生率。 Data mining techniques were widely used in many fields. The security of railway cars grouping was a very important aspect of the railway system. The technique of association rules in data mining was used in the accidents analysis in railway shunting operation to find out the relations between the causes of the accidents. The results of the analysis could be used by the administration to make an improvement, in order to improve the efficiency of productivity and lower the accident rates of the railway cars grouping.
出处 《铁路计算机应用》 2006年第3期25-27,共3页 Railway Computer Application
关键词 数据挖掘 关联规则 铁路调车 事故原因分析 data mining association rules railway shunting accident analysis
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参考文献2

  • 1Shichao Zhang,Chengqi Zhang,Xiaowei Yan.Post-mining:Maintenance of Association Rules by Weighting[J].Information Systems,Volume 28,Issue 7,October 2003:691 -707.
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二级参考文献8

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