Enhancing anomaly detection performance in imbalanced datasets using a deep generative model and Tomeklinks approach
Data imbalance is a problem in machine learning. Unbalanced classes cause a common problem in machine classification, where there is a disproportionate ratio within each class. Data imbalance results in a decrease in model quality, where the model can provide high accuracy but only applies to the ma...
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| Format: | Thesis |
| Language: | en |
| Published: |
2025
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/29011/2/Enhancing%20anomaly%20detection%20performance%20in%20imbalanced%20datasets%20using%20a%20deep%20generative%20model%20and%20Tomeklinks%20approach.pdf http://eprints.utem.edu.my/id/eprint/29011/ |
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