Mining Profitability of Telecommunication Customers Using K-Means Clustering


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.

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Arumawadu, H. , Rathnayaka, R. and 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.

Conflicts of Interest

The authors declare no conflicts of interest.


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