Title :
Research on cross-selling in the express delivery enterprise based on data mining
Author :
Huang, Jingyun ; Ji, Shouwen ; Xie, Haiyao ; Wang, Xiaohua
Author_Institution :
Transp. Sch., Beijing Jiaotong Univ., Beijing
fDate :
June 30 2008-July 2 2008
Abstract :
The enterprises which provide express delivery services must have high regard for customer and offer good services to improve the customer service level. As a newly thought of marketing, cross-selling can improve the economic benefits of enterprises and strengthen the relation between enterprise and customer. The model of cross-selling of express delivery business is established by using two data mining algorithms, association rule abstracting algorithm and decision tree classification algorithm, which are used in cross-selling analysis. The actual experiment is done, and the result shows the methods are effecting for express delivery business.
Keywords :
customer services; data mining; decision trees; marketing data processing; association rule abstracting algorithm; cross-selling; customer service; data mining; decision tree classification algorithm; express delivery enterprise; marketing; Banking; Companies; Customer service; Data mining; Decision making; Genetic algorithms; Logistics; Marketing and sales; Sustainable development; Transportation; Cross-selling; Data mining; Express delivery business;
Conference_Titel :
Service Systems and Service Management, 2008 International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4244-1671-4
Electronic_ISBN :
978-1-4244-1672-1
DOI :
10.1109/ICSSSM.2008.4598443
