Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry

doi:doi:10.57702/otvzwdte

Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry

A churn prediction system guides telecom service providers to reduce revenue loss. However, the development of churn prediction system for a telecom industry is a challenging task, mainly due to the large size of the data, high dimensional features, and imbalanced distribution of the data.

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The json representation of the dataset with its distributions based on DCAT.
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Cite this as

Uzair Ahmed, Asifullah Khan, Saddam Hussain Khan, Abdul Basit, Irfan Ul Haq, Yeon Soo Lee (2024). Dataset: Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry. https://doi.org/10.57702/otvzwdte

DOI retrieved: December 2, 2024

Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.1901.06091
Author	Uzair Ahmed
More Authors	Asifullah Khan Saddam Hussain Khan Abdul Basit Irfan Ul Haq Yeon Soo Lee