The Mining Method of the Road Traffic Illegal Data Based on Rough Sets and Association Rules

Based on the daily operation data of the urban road traffic management system, this paper analysis the demand of data mining of the traffic violations, pre-processes the data to data sets by the detection methods of proximity-based outlier. According to the characteristics of data traffic offense, combining the advantages of rough sets and association rules data mining, proposed two methods based on the joint data mining method. Finally, a city in the year 2008 road traffic management data, for example, using the text method, regularity of the traffic offense causes were analyzed, indicating that the method is effective.