Hybrid Deep Networks Based On Periodshift
Cosine Annealing For Customer
Retention Prediction In Telecom
Industry

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Hybrid Deep Networks Based On Periodshift Cosine Annealing For Customer Retention Prediction In Telecom Industry

In the dynamic landscape of Customer Retention Prediction (CRP), the imperative to strategically direct marketing and promotion efforts towards targeted customers has never been more crucial. Identifying potential churn indicators and continually exploring innovative retention methods becomes par...

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Bibliographic Details
Main Author:	Victor, Johnson Olanrewaju
Format:	Thesis
Language:	English
Published:	2024
Subjects:	QA75.5-76.95 Electronic computers. Computer science
Online Access:	http://eprints.usm.my/62044/ http://eprints.usm.my/62044/1/JOHNSON%20OLANREWAJU%20VICTOR%20-%20TESIS24.pdf

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