分类决策树在交通事故成因分析中的应用  

Application of Decision Tree Algorithm in the Analysis of the Causes of Traffic Accident

作　　者：王洪海[1] 

机构地区：[1]安徽三联学院信息与通信技术系,安徽合肥230601

出　　处：《安徽科技学院学报》2013年第6期70-74,共5页Journal of Anhui Science and Technology University

基　　金：安徽省高校省级自然科学研究项目(KJ2012B065)

摘　　要：交通事故的形成常涉及多种因素,如驾驶人本身、车辆、环境等。以数据挖掘技术中的ID3分类决策树算法对交通事故数据进行分析和研究,得出蕴含在数据中的有益模式,决策树构造结果显示,分类决策树应用于交通事故成因分析中具有可行性与有效性。The formation of the traffic accidents often involves many factors such as the driver itself, the vehicle and the environment . The traffic accident data was analyzed and studied by the decision tree algorithm ID3 of the data mining techniques, which display the useful patterns in data. The result of the decision tree structure al- gorithm is that the application of decision tree algorithm in the analysis of the causes of traffic accident has feasi- bility and availability.

关 键 词：决策树 ID3 交通事故 分析 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]