摘要
从分线成本核算开展数据分析的目标入手,搭建数据分析的总体架构,描述数据分析与分线成本核算系统间的关系,引入聚类、分类、回归分析、关联分析等数据挖掘算法,从铁路总公司、铁路局/公司和特定线路等不同用户角度,分析铁路线路公益性/经营性业务特征、不同成本类型间分布特征、各类统计工作量的分布规律、收支盈亏情况等,为合理定义铁路线路业务性质、运输产品优化、经营决策等提供数据和辅助决策支持。
From the goal of sub-line cost accounting to carry out data analysis, this article built the overall structure of data analysis, described the relationship between data analysis and sub-line cost accounting system, introduced the data mining algorithms such as clustering, classification, regression analysis and correlation analysis, analyzed the characteristics of public welfare/business characteristics of railway lines, the distribution characteristics of different cost types, the distribution rules of various kinds of statistical workload, the profit and loss situation of the railway and so on, the railway company/the railway station/the company and the specific line. It was provided data and support decision support for the rational definition of the nature of the railway line business, transport product optimization, business decision-making.
出处
《铁路计算机应用》
2017年第10期5-7,16,共4页
Railway Computer Application
基金
中国铁道科学研究院电子计算技术研究所基金(DZYF16-16)
关键词
铁路
经营管理
成本
大数据分析
railway
management
sub-line cost
big data analysis
