DocumentCode
2930243
Title
A Dynamic Pricing Model for E-commerce Based on Data Mining
Author
Chen, Yuan ; Wang, Feifei
Author_Institution
Center for the Studies of Inf. Resources, Wuhan Univ., Wuhan, China
Volume
1
fYear
2009
fDate
12-14 Dec. 2009
Firstpage
363
Lastpage
366
Abstract
In this paper, a dynamic pricing model for e-commerce based on data mining is proposed after the comprehensive analysis of data mining technology applications and e-commerce dynamic pricing strategies. The authors introduce this model into the pricing mechanisms of TaoBao, and discuss the application of the model in C2C and B2C modes, which has great reference value for e-commerce enterprise operation.
Keywords
data mining; electronic commerce; pricing; B2C modes; C2C modes; business-to-consumer modes; consumer-to-consumer modes; data mining; dynamic pricing model; e-commerce; Computational intelligence; Data analysis; Data mining; Decision making; Electronic commerce; Game theory; Information analysis; Information resources; Machine learning; Pricing; TaoBao; data mining; dynamic pricing model; e-commerce;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location
Changsha
Print_ISBN
978-0-7695-3865-5
Type
conf
DOI
10.1109/ISCID.2009.99
Filename
5370169
Link To Document