DocumentCode
2159508
Title
The Air Cargo Strategy Based on Apriori and ID3 Algorithm
Author
Li Hongyan ; Wu Zhong ; Li Cheng
Author_Institution
Sch. of Manage. Studies, Shanghai Univ. of Eng. Sci., Shanghai, China
fYear
2009
fDate
24-26 Sept. 2009
Firstpage
1
Lastpage
4
Abstract
This article mines the air cargo customer information and establishes the decision tree of the ID3 association rules from the ED3 algorithm. It finds frequent customer information using Apriori algorithm and finally gets the best combination of customer information. The combination has some significance on the development of air cargo.
Keywords
customer profiles; data mining; decision trees; goods distribution; Apriori algorithm; ID3 association rule; air cargo customer information; decision tree; Application software; Association rules; Classification algorithms; Classification tree analysis; Data mining; Decision trees; Engineering management; Information entropy; Mining industry; Random variables;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-3692-7
Electronic_ISBN
978-1-4244-3693-4
Type
conf
DOI
10.1109/WICOM.2009.5304252
Filename
5304252
Link To Document