Telecom Churn Prediction System Based on Ensemble Learning Using Feature Grouping

Telecom Churn Prediction System Based on Ensemble Learning Using Feature Grouping

In recent years, the telecom market has been very competitive. The cost of retaining existing telecom customers is lower than attracting new customers. It is necessary for a telecom company to understand customer churn through customer relationship management (CRM). Therefore, CRM analyzers are requ...

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Bibliographic Details
Main Authors:	Tianpei Xu, Ying Ma, Kangchul Kim
Format:	Article
Language:	English
Published:	MDPI AG 2021-05-01
Series:	Applied Sciences
Subjects:	customer churn CRM machine learning ensemble learning feature grouping
Online Access:	https://www.mdpi.com/2076-3417/11/11/4742

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