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Exploring Business Opportunities from Mobile Service Data of Customers Using Inter-cluster Analysis

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2 Author(s)
Bose, I. ; Sch. of Bus., Hong Kong Univ. ; Chen Xi

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

Published in:

Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on

Date of Conference:

Dec. 2006