An Enhanced Deep Learning Approach to Potential Purchaser Prediction: AutoGluon Ensembles for Cross-Industry Profit Maximization
Accurately identifying potential purchasers is critical for maximizing profitability in highly competitive markets, spanning industries from finance and insurance to telecommunications. This article presents an enhanced deep learning approach for potential purchaser prediction, leveraging an AutoGlu...
Saved in:
| Main Authors: | Hashibul Ahsan Shoaib, Md Anisur Rahman, Jannatul Maua, Ashifur Rahman, M. F. Mridha, Pankoo Kim, Jungpil Shin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Open Journal of the Computer Society |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10930799/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Integrating AutoGluon for Real-Time Monitoring and Classification of Dental Equipment Performance
by: Muxiu Yang, et al.
Published: (2025-01-01) -
Simulating the root-to-shoot ratio of natural grassland biomass in China by the AutoGluon framework
by: Rui Guo, et al.
Published: (2025-08-01) -
An AutoML-Powered Analysis Framework for Forest Fire Forecasting: Adapting to Climate Change Dynamics
by: Shuo Zhang, et al.
Published: (2024-12-01) -
A multimodal MRI-based machine learning framework for classifying cognitive impairment in cerebral small vessel disease
by: Guihan Lin, et al.
Published: (2025-04-01) -
Discovery of the bound state of three gluons - odderon
by: V. E. Aushev
Published: (2021-03-01)