A swarm intelligence-based ensemble learning model for optimizing customer churn prediction in the telecommunications sector

A swarm intelligence-based ensemble learning model for optimizing customer churn prediction in the telecommunications sector

In today's competitive market, predicting clients' behavior is crucial for businesses to meet their needs and prevent them from being attracted by competitors. This is especially important in industries like telecommunications, where the cost of acquiring new customers exceeds retaining ex...

Повний опис

Бібліографічні деталі
Автори: Bijan Moradi, Mehran Khalaj, Ali Taghizadeh Herat, Asghar Darigh, Alireza Tamjid Yamcholo
Формат: Стаття
Мова:English
Опубліковано: AIMS Press 2024-01-01
Серія:AIMS Mathematics
Предмети:
customer churn prediction
telecommunication industry
dataset balancing
feature selection
ensemble learning
whale optimization algorithm
Онлайн доступ:https://www.aimspress.com/article/doi/10.3934/math.2024138?viewType=HTML

Інтернет

https://www.aimspress.com/article/doi/10.3934/math.2024138?viewType=HTML

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