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作者:沈斌,金峰,王宏雁.基于关联规则挖掘的行人保护研究.农业装备与车辆工程(已接收)。
摘要:针对国内在行人保护研究领域多为计算机模拟分析的现状,提出一种应用多维关联规则挖掘技术,分析大量行人交通事故数据的研究方法。应用数据立方体技术,对Apriori算法做了改进,开发了一种适用于维间关联规则挖掘的算法,应用算法找出行人交通事故中频繁项之间的关联规则,这些规则不仅可用来指导车辆的安全性设计,还可以为进一步的研究提供参考方向。
关键词:行人保护,关联规则挖掘,交通事故,数据挖掘
中国法分类号:TP 文献标识码:A
Research on Pedestrian Protection System Based on Association Rule Mining
SHEN Bin, JIN Feng, WANG Hongyan
(
Abstract: Because of the problem of the research of Pedestrian protection in China most concentrate to Computer Simulation, introduced a research method in the field of data mining,called multi-dimensional association rule method,helps analyze the large amounts of pedestrian traffic accident records. Improved a new algorithm for multi-dimensional association rules mining, based on data cube and Apriori. Using this algorithm we can find the association rules in frequent facto of pedestrian traffic accident. These rules can not only be used to improve Vehicle, but also a new research.
Key words: pedestrian protection, association rule mining, traffic accident, data-mining
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