Research on Association Rule Mining of Traffic Accident Data Based on FP-growth Algorithm
In order to explore a certain pattern of traffic accidents induced by the joint action of multiple accident influencing factors and the relationship between the factors,this paper adopts the FP-growth algorithm to analyze the collected traffic accident data,to explore the potential value of the information,to find out the causes of the accidents,and to give suggestions to the relevant departments according to the analysis results,to help the urban traffic managers to formulate more effective management measures,in order to achieve the purpose of reducing the frequency of traffic accidents.
万方数据
维普
