A Review on Customer Churn Prediction in Telecommunication Using Data Mining Techniques

S. Babu, Dr. N. R. Ananthanarayanan

Abstract: Customer churn is the term which indicates the customer who is in the stage to leave the company. Particularly it is happening recurrently in the telecommunication industry and the telecom industries are also in a position to retain their customer to avoid the revenue loss. Prediction of such behaviour is very vital for the present market and competition and Data mining is the one of the effective technique for the same. So the research is focused in this area and this paper reviewed about 64 research papers in the aim of identifying the data Mining techniques and models used to predict the customer churn. In addition to this, study about the lack of the existing models, there by defining the new model to predict the churn in the telecom industry.

Keywords: Churn, Telecommunication, Retain, Data Mining Techniques