DocumentCode :
3136311
Title :
Application Research on Fast Discovery of Association Rules Based on Air Transportation
Author :
Hong-Bo, Jiang ; De-Li, Yang
Author_Institution :
Dalian Univ. of Technol., Dalian
fYear :
2007
fDate :
9-11 June 2007
Firstpage :
1
Lastpage :
6
Abstract :
In this paper the popular Apriori algorithm and its improvements were introduced and a great many complex data in air transportation were used to fast discover the association rules. For too many rules are produced in the traditional association rules and the Apriori algorithm is not used widely, this paper chooses the improvement algorithm to prune redundant rules based on traditional association rules, which simplifies the rules and overcomes the disadvantages of traditional association rules, like the redundant rules and difficult application.
Keywords :
airports; data mining; freight handling; transportation; travel industry; Apriori algorithm; air transportation; airport freight system; association rules; Air transportation; Airports; Algorithm design and analysis; Association rules; Data mining; Databases; Information analysis; Marketing and sales; Satellite broadcasting; Technology management; Apriori algorithm; Association rules; Confidence; Support;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service Systems and Service Management, 2007 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
1-4244-0885-7
Electronic_ISBN :
1-4244-0885-7
Type :
conf
DOI :
10.1109/ICSSSM.2007.4280165
Filename :
4280165
Link To Document :
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