JDAIP  Vol.3 No.3 , August 2015
Mining Profitability of Telecommunication Customers Using K-Means Clustering
Abstract: Data mining is the powerful technique, which can be widely used for discovering the customers’ behaviors as well as customer’s preferences. As a result, it has been widely used in top level companies for evaluating their Customer Relationship Management (CRM) system today. In this study, a new K-means clustering method proposed to evaluate the cluster customers’ profitability in telecommunication industry in Sri Lanka. Furthermore, RFM model mainly used as an input variable for K-means clustering and distortion curve used to identify optimal number of initial clusters. Based on the results, telecommunication customers’ profitability in Sri Lanka mainly categorized into three levels.
Cite this paper: Arumawadu, H. , Rathnayaka, R. , Illangarathne, S. (2015) Mining Profitability of Telecommunication Customers Using K-Means Clustering. Journal of Data Analysis and Information Processing, 3, 63-71. doi: 10.4236/jdaip.2015.33008.

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