Research And Application Of Traffic Accident Information System Based On Data Mining

Data mining is a technology developed in recent years, the application of data mining, knowledge that people can be applied to the results of research on the actual data processing, scientific decision-making to provide support for rapid access to knowledge and decision-making applied to the field, has now become information Treatment of one of the hot topics.This paper analyses the road traffic accidents in the key information management issues, the first: to identify accident-prone locations.Secondly road traffic accidents to identify the main incentives for these two issues can be used data mining in the cluster theory Methods and associated analytical methods for analysis.In this paper, the realization of the multiple points of the accident investigation and intelligence methods for research and design, proposed a technology-based data mining methods of investigation. Based on the density of cluster analysis of DBSCAN can be an effective method of space in the collection points for clustering. In the accident to explore the relevance of information on the issue of traffic accidents due to attribute data is a multidimensional data structure, and general association rule mining algorithms not suitable for the multi-dimensional model of data mining. Therefore, this paper on the classic Apriori algorithm was improved, a model for attribute data traffic accidents multidimensional data analysis of the correlation algorithm, the algorithm to enhance multi-dimensional data processing capability.In the above study on the basis of this paper, J2EE and the power of JSP, using JSP + JavaBean + Servlet three-tier structure, design a traffic accident data mining system and achieve the overall framework of data mining module and data mining, and other results Function. Tarim Oil and road traffic accidents by an analysis of data verification, the system of accident data for effective analysis and display of the outcome, will greatly improve the traffic information analysis capability.