An Improved Ant Colony Optimization to Uncover Customer Characteristics for Churn Prediction
Customer churn prediction is a critical task in the telecommunication (telecom) industry, where accurate identification of customers at risk of churning plays a vital role in reducing customer attrition. Feature selection (FS) is an integral part in Machine Learning (ML) models which aims to improve...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Scientific Association for Studies and Applied Research
2025-04-01
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| Series: | Computational Journal of Mathematical and Statistical Sciences |
| Subjects: | |
| Online Access: | https://cjmss.journals.ekb.eg/article_385616.html |
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