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- W2130482403 abstract "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." @default.
- W2130482403 created "2016-06-24" @default.
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- W2130482403 date "2011-01-01" @default.
- W2130482403 modified "2023-09-26" @default.
- W2130482403 title "Churn Prediction in Telecommunication Using Data Mining Technology" @default.
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- W2130482403 doi "https://doi.org/10.14569/ijacsa.2011.020204" @default.
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