摘要
设计了一种基于改进Apriori算法的铁路轨道质量分析与评价系统.首先对原始病害数据进行预处理,消除冗余数据,建立有效数据仓库;然后将数据进行分块处理,并对对应的决策表约简;最后利用改进Apriori算法减少扫描候选频繁项集的次数,寻找相应关联规则.通过对工务段线路病害进行评价,验证了该系统设计方案的合理性和有效性.
A design scheme of quality analysis and evaluation system of tracks based on improved Apriori algorithm is proposed. The initial data is preprocessed to build the efficient data warehouse firstly. Then reduction is interpreted in a consistent decision table which we have preprocessed. To capture the association rules, the proposed methods are used to reduce the times of scanning candidate frequent item sets. Experiments show that the proposed method is reasonable and effective.
出处
《微电子学与计算机》
CSCD
北大核心
2015年第10期159-162,共4页
Microelectronics & Computer
基金
国家自然科学基金项目(61201447)
河南省科技攻关项目(122102210492)
河南省教育厅科学技术研究重点项目(13A520368
13A520367)
关键词
关联规则
评价系统
质量分析
铁路病害
数据挖掘
association role evaluation system
quality analysis
railway defects
data mining
