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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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Bibliographic Details
Main Authors: Carey Ling, Yu Fan, Piau, Phang, Liew, Siaw Hong, Vivek Jason, Jayaraj, Benchawan, Wiwatanapataphee
Format: Article
Language:English
Published: Springer Nature 2024
Subjects:
QA75 Electronic computers. Computer science
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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Internet

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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