基于文本挖掘的PMI日志分析研究

Study on PMI log analysis based on text-mining

针对城轨交通的设备维护及检修,利用目前新兴的数据挖掘技术对日志进行关联分析,以期达到事故防患于未然的目的。介绍了关联规则的设计、算法的演示以及挖掘过程,并提出了一种改进算法,最后针对PMI日志做了相关分析研究。

With the increasing reliance on rail transport, the related equipment maintenance and repairing appears to be particularly important. This article is centered on the theme of this. While taking advantage of emerging data mining techniques to analysis them with association, to achieve the purpose of preventive measures. This paper briefly describes the design of association rules, algorithm demonstration, data mining process, and proposes an improved algorithm. And finally, made a analysis for the PMI log.