Title :
Spatial data mining method for customer intelligence
Author :
Fan, Bo ; Li, Yi-jun ; Yan, Xiang-bin
Author_Institution :
Manage. Sch., Harbin Inst. of Technol., China
Abstract :
Spatial data mining method is used to enrich customer intelligence analytical function in this article. We first propose a spatial data classification method, which can handle the uncertainty property of customer data. On the basis of spatial classification rules, we then propose a detection method of potential customers by map overlapping. Deep spatial analytical function is realized in customer intelligence system, which cannot be done by traditional data mining method.
Keywords :
data analysis; data mining; rough set theory; uncertainty handling; visual databases; customer data; customer intelligence; customer intelligence system; data classification method; data mining method; map overlapping; uncertainty property handling; Data mining; Electronic mail; Face detection; Information analysis; Intelligent systems; Postal services; Production; Set theory; Technology management; Uncertainty;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1264491