Reduced Noise SMOTE in Machine Learning Model: Application in Water Quality Classification with Imbalanced Datasets
Achieving accurate classification in imbalanced datasets, especially for environmental data such as water quality assessment, is a major challenge for machine learning classifiers. This study introduces the Reduced Noise-Synthetic Minority Oversampling Technique (RN-SMOTE) to address the problems of...
| Published in: | 2024 5th International Conference on Artificial Intelligence and Data Sciences, AiDAS 2024 - Proceedings |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209693380&doi=10.1109%2fAiDAS63860.2024.10730391&partnerID=40&md5=2676def56948cc6cbe10c9ca564deb1c |