An Intelligent Transportation Information Association Mining Scheme Based on Improved Frequent Tree Model
HUANG Yuda
WANG Chaojie
ZHAO Hongzhuan
WANG Yiran
Abstract：For the lack of the traditional traffic system in in‐depth processing and analyzing for the massive traffic infor‐mation ,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 .
Keywords：data miningintelligent transport systemmassive traffic informationassociation rulesfrequent tree modelsystem engineering
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 210-214 )