Title :
Research on Decision of Air Cargo Strategy Based on Data Mining
Author_Institution :
Sch. of Manage., 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 ID3 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; freight handling; travel industry; ID3 association rule; air cargo customer information; air cargo strategy; apriori algorithm; data mining; decision tree; Association rules; Classification algorithms; Customer satisfaction; Decision trees; Entropy; Itemsets; Apriori algorithm; ID3 algorithm; customer information;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
DOI :
10.1109/iCECE.2010.993
