An Intelligent Transportation Information Association Mining Scheme Based on Improved Frequent Tree Model
Huang Yud · Computer and Digital Engineering · 2015
For the lack of the traditional traffic system in in-depth processing and analyzing for the massive traffic information,the paper presents a new architecture of ITS,and a association mining analysis program of improved frequent tree model based on the architecture and data mining technology.The scheme uses the thought of system engineering,elaborates the improved algorithm steps and key technologies,finally the experiment verifies the feasibility and effectiveness of the scheme.Experimental results show that the scheme not only can realize quickly and effectively mining the intelligent traffic information,according to requirement,but also obtain accurate,concise and useful information,to provide accurate data for the evaluation and decision making.