Intelligent Decision Forest Models for Customer Churn Prediction

Intelligent Decision Forest Models for Customer Churn Prediction

Customer churn is a critical issue impacting enterprises and organizations, particularly in the emerging and highly competitive telecommunications industry. It is important to researchers and industry analysts interested in projecting customer behavior to separate churn from non-churn consumers. The...

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Bibliographic Details
Main Authors: Fatima Enehezei Usman-Hamza, Abdullateef Oluwagbemiga Balogun, Luiz Fernando Capretz, Hammed Adeleye Mojeed, Saipunidzam Mahamad, Shakirat Aderonke Salihu, Abimbola Ganiyat Akintola, Shuib Basri, Ramoni Tirimisiyu Amosa, Nasiru Kehinde Salahdeen
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied Sciences
Subjects:
telecommunication
customer churn
decision forest
machine learning
ensemble
Online Access:https://www.mdpi.com/2076-3417/12/16/8270

Internet

https://www.mdpi.com/2076-3417/12/16/8270

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