Churn analysis using deep convolutional neural networks and autoencoders

Customer temporal behavioral data represented as images to perform churn prediction by leveraging deep learning architectures prominent in image classification.

Data and Resources

Cite this as

Artit Wangperawong, Cyrille Brunc, Dr. Olav Laudyc, Rujikorn Pavasuthipaisit (2024). Dataset: Churn analysis using deep convolutional neural networks and autoencoders. https://doi.org/10.57702/otrwvo8x

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.1604.05377
Author Artit Wangperawong
More Authors
Cyrille Brunc
Dr. Olav Laudyc
Rujikorn Pavasuthipaisit
Homepage https://arxiv.org/abs/1506.02635