文章基本信息

标题：Churn Prediction in Telecommunication Using Data Mining Technology
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作者：Rahul J Jadhav ; Usharani T. Pawar
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2011
卷号：2
期号：2
DOI：10.14569/IJACSA.2011.020204
出版社：Science and Information Society (SAI)
摘要：Since its inception, the field of Data Mining and Knowledge Discovery from Databases has been driven by the need to solve practical problems. In this paper an attempt is made to build a decision support system using data mining technology for churn prediction in Telecommunication Company. Telecommunication companies face considerable loss of revenue, because some of the customers who are at risk of leaving a company. Increasing such customers, becoming crucial problem for any telecommunication company. As the size of the organization increases such cases also increases, which makes it difficult to manage, such alarming conditions by a routine information system. Hence, needed is highly sophisticated customized and advanced decision support system. In this paper, process of designing such a decision support system through data mining technique is described. The proposed model is capable of predicting customers churn behavior well in advance.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; churn prediction; data mining; Decision support system; churn behavior.