Churn Prediction in Mobile Telecom System Using Data Mining Techniques

نویسنده

  • M. SELVARANI
چکیده

At present situation, telecommunication department plays vital role in our day today human life. At the same time telecommunication area attains a rapid growth in very short period of years. Due to this fact, Telecom department is one of the senses deciding factor in world market. Because of this reason, this field turned out to be a most profitable area for investment. At the mean time competition between telecom industries is also there in the market. So churn prediction is very essential in telecom industries to retain their customers. This study focuses on data mining techniques for reducing customer churn and also likely to reduce error ratio.

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تاریخ انتشار 2014