DocumentCode
2665764
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
fYear
2008
fDate
16-18 July 2008
Firstpage
538
Lastpage
540
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CHICC.2008.4605500
Filename
4605500
Link To Document