Exploration of COVID‑19 data in Malaysia through mapper graph
Huge amounts of data have been collected from various sources during the COVID-19 pandemic, providing a unique opportunity for analysis, data-driven modelling, and machine learning in understanding the complexity of COVID-19 more effectively and make informed decisions. To keep with the expanding qu...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2024
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/45351/3/Exploration%20of%20COVID%E2%80%9119%20data%20-%20Copy.pdf http://ir.unimas.my/id/eprint/45351/ https://link.springer.com/article/10.1007/s13721-024-00472-3 https://doi.org/10.1007/s13721-024-00472-3 |
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