The Strategic Research of Air Cargo Based on Rule Knowledge and Decision Tree
Cheng Li, Danqing Zhou, Chunxun Xie, Zhong Yong Wu · 2007
Data mining cannot just focus on the advanced algorithms and models. It should combine with the practical situation of air cargo companies to dig out useful rules. In order to improve the effectiveness and quality of the air cargo services in our country, we should make full use of apriori algorithm and discovery algorithm of data mining rules to analyze the demand of the air cargo clients. Then we need to sort the air cargo customers, predict the running off and make decisions by using the decision tree. The main purpose is to combine the air cargo with data mining, therefore, we are able to promote the data mining technology with powerful functions in our air cargo business.