A Churn Prediction System for Telecommunication Company Using Random Forest and Convolution Neural Network Algorithms

Ajao, Jumoke Falilat and Balogun, Bukola Fatimah and Arowolo, Micheal Olaolu (2022) A Churn Prediction System for Telecommunication Company Using Random Forest and Convolution Neural Network Algorithms. EAI Endorsed Transactions on Mobile Communications and Applications.

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Abstract

INTRODUCTION: Customer churn is a severe problem of migrating from one service provider to another. Due to the direct influence on the company's sales, companies are attempting to promote strategies to identify the churn of prospective consumers. Hence it is necessary to examine issues that influenc

Item Type: Article
Date Deposited: 04 Mar 2026 15:32
Last Modified: 11 Apr 2026 12:47
URI: http://eprints.eai.eu/id/eprint/39724

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