You're currently viewing an old version of this dataset. To see the current version, click here.

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.

Data and Resources

This dataset has no data

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

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

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