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
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;
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
DOI :
10.1109/ISCID.2009.99
