Demand Pattern of Air Cargo Customers by Mining Association Rules
Airlines need a method to locate the useful information in the vast amount of data provided by the air cargo market. In order to improve the effectiveness and quality of the air cargo services, we should analyze air cargo customer group characteristics and customers service demand. And also Association rules algorithm should connect with the air cargo business conditions so as to dig out useful demand pattern of air cargo customers. This thesis will use data mining algorithms of attribute-oriented induction and association rules to discover the demand pattern of air cargo customers.
demand pattern association rule airlines air cargo
LI Cheng YAO Hongguang WU Jing
Donghua University, P.R.China, 201620 Shanghai University of Engineering Science, P.R.China, 201620 Shanghai University of Engineering Science, P.R.China, 201620
国际会议
威海
英文
403-406
2010-07-24（万方平台首次上网日期，不代表论文的发表时间）