基于数据挖掘技术的交通事故关联分析

Traffic Accident Correlation Analysis Based on Data Mining Technology

基于数据挖掘在潜在价值信息发现、具备大数据量处理能力等优势,采用关联规则挖掘方法对英国近10年交通事故数据进行分析,本文通过Python语言建立Apriori关联规则挖掘模型,分析交通事故发生的频繁因素集,发现交通事故数据中存在的关系和规则,从而为交通事故预警和管理提供数据决策支撑。

Based on the advantages of data mining in the discovery of potential value information and the ability of large data processing capacity,this paper analyzes the traffic accident data of Britain in recent 10 years by using association rule mining method. This paper establishes the Apriori association rule mining model through Python language, analyzes the traffic accident Frequent factors set, found in the traffic accident data in the existence of the relationship and rules, so as to provide early warning and management of traffic data decision support.