DocumentCode
2573522
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
fYear
2008
fDate
June 30 2008-July 2 2008
Firstpage
1
Lastpage
6
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICSSSM.2008.4598443
Filename
4598443
Link To Document