DocumentCode
3260798
Title
Exploring Business Opportunities from Mobile Service Data of Customers Using Inter-cluster Analysis
Author
Bose, Indranil ; Xi, Chen
Author_Institution
Sch. of Bus., Hong Kong Univ.
fYear
2006
fDate
Dec. 2006
Firstpage
580
Lastpage
584
Abstract
Customer clustering is used to understand customers´ preferences and behaviors by examining the differences and similarities between customers. Kohonen vector quantization (KVQ), Kohonen self organizing map (SOM) and K-means are used in this research to find interesting behaviors of customers who subscribe to mobile services. Clustering is followed by inter-cluster analysis in order to identify possible business opportunities
Keywords
customer services; pattern clustering; self-organising feature maps; vector quantisation; Kohonen self organizing map; Kohonen vector quantization; business opportunities; customer clustering; intercluster analysis; mobile service data; Asia; Clustering algorithms; Conferences; Data mining; Mobile handsets; Organizing; Pricing; Profitability; Telecommunication services; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
Conference_Location
Hong Kong
Print_ISBN
0-7695-2702-7
Type
conf
DOI
10.1109/ICDMW.2006.75
Filename
4063693
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