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    題名: Applying Data Mining Techniques to WIFLY in Customer Relationship Management
    作者: Lin, Cheng-Jung;Chiang, Ding-An;Lai, Sheng-Wei;Wang, Yi-Hsin
    貢獻者: 淡江大學資訊工程學系
    關鍵詞: Customer relationship management;marketing;WIFLY;clustering;churn;data mining;decision tree
    日期: 2010
    上傳時間: 2012-06-14 10:17:07 (UTC+8)
    出版者: Faisalabad: A N S I Network
    摘要: In recent years, wireless service subscribers are easy and frequent to change from one service provider to another for better service, which is called churn. This study applied data mining techniques to predict customer churn in Customer Relationship Management (CRM) and build predicting model to prevent customer churn. The experimental evaluation results show that customer churn model is effective and efficient. It can help enterprise in predicting the customer churn, building customer loyalty and maximizing enterprise profitability.
    關聯: Information Technology Journal 9(3), pp.488-493
    DOI: 10.3923/itj.2010.488.493
    顯示於類別:[資訊工程學系暨研究所] 期刊論文

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