A Comparative Study of Techniques to Predict Customer Churn in Telecommunication Industry
نویسنده
چکیده
In present days there is huge competition between various companies in the industry. Due to this companies pay more attention towards their customers rather than their product. They become aware of customer churn issue. Basically when a customer ceases one’s relationship with the company, this misfortune of relationship is known as customer churn. Various data mining approaches are used to predict customer’s churn attitude. Many algorithms have been proposed to predict these results. In this paper, we have discussed about various methods used to predict customer churn in telecommunication industry and propose a technique using Correlation based Symmetric uncertainty feature selection and ensemble learning for customer churn prediction in telecommunication industry.
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