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Churn Prediction in Telecom Using Data Mining by Mahmoud Al-Ewiwi is a document available to read on EtoBox.

What is Churn Prediction in Telecom Using Data Mining about?

This document discusses using data mining techniques to predict customer churn in the mobile telecom industry. It begins by introducing the importance of churn prediction for telecom companies due to competition. It then describes the churn prediction problem and process, which involves training a model on historical customer data labeled with churn status, and using the model to predict future churners. The proposed methodology involves acquiring and preparing customer data, including call detail records a

Author

Mahmoud Al-Ewiwi

Language

EN