DocumentCode
2980504
Title
Research on Decision of Air Cargo Strategy Based on Data Mining
Author
Li Yuewen
Author_Institution
Sch. of Manage., Shanghai Univ. of Eng. Sci., Shanghai, China
fYear
2010
fDate
25-27 June 2010
Firstpage
4085
Lastpage
4089
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6880-5
Type
conf
DOI
10.1109/iCECE.2010.993
Filename
5629913
Link To Document