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
         
        
        
        
        
        
            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;
         
        
        
        
            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
         
        
        
            DOI : 
10.1109/ICMSS.2009.5301544