• S.Kavitha
• R.Seetha
• S.Sathyavathi

: Churn is the process, where a customer moves away or breaks off a subscription with his provider. Customer churn prediction performs a primary role in telecommunication industry due to the smart phone dominated era. It is very necessary to interpret and forecast the behaviour of customers. Achieving the new customer is more costly than engaging the old one. In previous study, machine learning techniques were used to forecast the client’s churn which comparatively produced less accuracy. The latest technologies in neural networks are CNN (Convolutional Neural Network) and RNN (Recurrent Neural Network) that commit the result to the problem by predicting the customer.

churn prediction, telecommunication, CNN, RNN.

"Prediction of Customer Churn in Telecom Industry Using Deep Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.1168-1173, June-2020, Available :http://www.jetir.org/papers/JETIR2006166.pdf

"Prediction of Customer Churn in Telecom Industry Using Deep Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1168-1173, June-2020, Available at : http://www.jetir.org/papers/JETIR2006166.pdf