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.
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;
Conference_Titel :
Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2702-7
DOI :
10.1109/ICDMW.2006.75
