Enhancing high-dimensional streaming data analysis: optimizing Online Feature Selection for handling drift using optimization technique and ensemble learning
In the era of data-driven decision-making, managing dynamic data streams characterized by evolving data distributions and high dimensionality presents a formidable challenge for online feature selection. This research addresses the challenge by devel-oping innovative solutions in optimizing Online F...
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| Format: | Thesis |
| Language: | en |
| Published: |
2024
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| Online Access: | https://ir.uitm.edu.my/id/eprint/122888/1/122888.pdf https://ir.uitm.edu.my/id/eprint/122888/ |
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