DocumentCode
2085874
Title
SOM Clustering Analysis for Telecommunication Customer Segmentation
Author
Gao Weiyi ; Qian Gangyi ; Xu Hong
Author_Institution
Sch. of Manage., Wuhan Univ. of Technol., Wuhan, China
fYear
2009
fDate
20-22 Sept. 2009
Firstpage
1
Lastpage
4
Abstract
A method for clustering complex, multivariate data, Kohonen self-organizing maps (SOMs), is suggested. The method is applied to telecommunications customer segmentation on real data from a telecom service provider. Customers were classified into 7 groups. The characteristics of each group are deeply analyzed in order to draw a clear outline of each group.
Keywords
pattern clustering; self-organising feature maps; telecommunication computing; telecommunication services; Kohonen self-organizing map; SOM clustering analysis; multivariate data; telecom service provider; telecommunication customer segmentation; telecommunication marketing; Companies; Consumer products; Customer satisfaction; Data visualization; Linearity; Market research; Multidimensional systems; Self organizing feature maps; Technology management; Telecommunication services;
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.2009.5301514
Filename
5301514
Link To Document