数据挖掘的关联分析及在道路交通事故中的应用

Analysis of Data Mining and its Application in Road Traffic Accident

数据挖掘起源于多种学科,主要是为了清晰认识某方面的未知规律而对各种相关数据进行的整合与分析。关联分析是数据挖掘的重要组成部分,主要作用是发现存在于大量数据集中的关联性,特别是数据样本属性间的联系。大量研究人员利用数据挖掘关联分析技术对Apriori算法进行优化与改进,研究道路交通事故中的人、车、路、环境等影响因素与道路交通事故之间的联系。

Data mining originated in a variety of disciplines,mainly in order to make a clear understanding of the unknown laws of a variety of related data on the integration and analysis.Correlation analysis is an important part of data mining,the main role is to find a large number of data in the relevance,especially the relationship between the data sample attributes.A large number of researchers used the data mining association analysis technique to optimize and improve the Apriori algorithm to study the relationship between the influencing factors such as people,vehicles,roads and environment in road traffic accidents and road traffic accidents.