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

作　　者：陈俊华[1] 张继连[2] 

机构地区：[1]柳州铁路局桂林车务段安全技术科,桂林541000 [2]广西师范大学计算机系,桂林541004

出　　处：《铁路计算机应用》2006年第3期25-27,共3页Railway Computer Application

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.

关 键 词：数据挖掘 关联规则 铁路调车 事故原因分析 

分 类 号：U292.12[交通运输工程—交通运输规划与管理]