Conditional Tabular Generative Adversarial Network-based Synthetic Data Generation for Model Generalisation Improvement
Accessing extensive and varied datasets is essential for developing strong predictive models in data analytics. However, many real-world applications suffer from small and imbalanced datasets, leading to overfitting, poor generalisation, and low model performance. Traditional data augmentation techn...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
Universiti Utara Malaysia
2026
|
| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/34570/1/JICT%202026%20v25%20n1%20Jan%20%202026%201-16.pdf https://repo.uum.edu.my/id/eprint/34570/ https://e-journal.uum.edu.my/index.php/jict/article/view/29481 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|