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
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;
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
DOI :
10.1109/WICOM.2009.5304252
