Mining Profitability of Telecommunication Customers Using K-Means Clustering

• 作者: Hasitha Indika Arumawadu R. M. Kapila Tharanga Rathnayaka S. K. Illangarathne
• 来源期刊: 数据分析和信息处理(英文)
• 学科: 经济
• 关键词: K-MEANS Clustering Data MINING RFM Model CUSTOMER Relationship Management
• 年，卷（期）: 2015,（3）
• 页码范围: 63-71
• 页数: 9页
• 分类号: F2

摘要

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.