DocumentCode
2086738
Title
The Research of Customer´s Repeat-Purchase Model Based on Data Mining
Author
Wang, Fudong ; Chen, Meimei
Author_Institution
Sch. of Manage., DongHua Univ., Shanghai, China
fYear
2009
fDate
20-22 Sept. 2009
Firstpage
1
Lastpage
3
Abstract
It costs something like five times to serve a new customer than a regular customer. Regular customer is very import to enterprise. This paper proposes a model of customer´s repeat-purchasing. Customer behavior patterns are first identified using association rule mining. Then, the customer´s repeat- purchase model is identified by comparing two sets of association rules generated from datasets of different periods. The experimental results demonstrated that the method is effective.
Keywords
data mining; purchasing; association rule mining; customer behavior patterns; customer repeat-purchase model; data mining; Association rules; Costs; Data analysis; Data mining; Demography; Finance; Frequency measurement; Industrial relations; Marketing management; Transaction databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4638-4
Electronic_ISBN
978-1-4244-4639-1
Type
conf
DOI
10.1109/ICMSS.2009.5301544
Filename
5301544
Link To Document