Title :
Association rule mining and application in intelligent transportation system
Author :
Juan, Xiao ; Feng, Ye ; Yafen, Xie ; Zhiyong, Zhang
Author_Institution :
Zhejiang Univ. of Technol., Hangzhou
Abstract :
An association rule mining algorithm called FP-Growth can help to mine frequent itemsets and derive interesting rules. An implementation of this algorithm and its application in intelligent transportation system are presented. Experimental results show that the algorithm can provide effective decision support for traffic management.
Keywords :
data mining; decision support systems; traffic engineering computing; transportation; FP-growth; association rule mining; decision support; frequent itemsets; intelligent transportation system; traffic management; Association rules; Control systems; Data mining; Electronic mail; Intelligent transportation systems; Itemsets; Lattices; Medical control systems; Road transportation; Technology management; FP-Growth; Frequent Itemsets; Intelligent Transportation System;
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
DOI :
10.1109/CHICC.2008.4605500
