Mar 20, 2019 · The main contribution of our work is to develop a churn prediction model which assists telecom operators to predict customers who are most likely subject to ...

Another main contribution is to use customer social network in the prediction model by extracting Social Network Analysis (SNA) features. The use of SNA ...

This work develops a churn prediction model which assists telecom operators to predict customers who are most likely subject to churn.

The main contribution of our work is to develop a churn prediction model which assists telecom operators to predict customers who are most likely subject to ...

Jul 18, 2020 · This research makes use of KNN with big data for predicting the consumer churn in the telecom industry.

The major goal of this system is to analyze the diversified machine learning algorithms which are required to develop customer churn prediction models and ...

Customer churn is a major problem and one of the most important concerns for large companies. Due to the direct effect on the revenues of the companies, ...

Mar 20, 2019 · The main contribution of our work is to develop a churn prediction model which assists telecom operators to predict customers who are most ...

This study introduces explainer models to address this gap, providing both local and global explanations of churn predictions.

Predicting customer churn in telecom industry using multilayer preceptron neural networks: modeling and analysis. Igarss. 2014;11(1):1–5. Umayaparvathi V ...