| Issue |
E3S Web Conf.
Volume 292, 2021
2021 2nd International Conference on New Energy Technology and Industrial Development (NETID 2021)
|
|
|---|---|---|
| Article Number | 03026 | |
| Number of page(s) | 4 | |
| Section | Environmental Sustainable Development and Industrial Transformation | |
| DOI | https://doi.org/10.1051/e3sconf/202129203026 | |
| Published online | 09 September 2021 | |
Epidemiological Investigation Model of Novel Coronavirus Pneumonia Based on Data Mining Technology
1 Guizhou Academy of Sciences Big Data Co. LTD, Guiyang, Guizhou, 550000, China
2 Guizhou Academy of Sciences, Guiyang, Guizhou, 550000, China
* Corresponding author: zcmei@gzbdi.com
With its extraordinary rapidity of transmission, the COVID-19 pandemic demonstrates the vulnerability of a globalized and networked world. The first months of the pandemic were marked by a significant strain on health-care systems. Since the prospect of pandemics has elevated public health concerns, it is critical to revisit this issue. The primary goal of this essay is to employ data mining technologies and methodologies to do investigative analysis on publicly available information. In this article we shared ways and techniques to handle and control this pandemic in the best possible way using data mining techniques and models. Researchers and scientists will be able to use the results of our poll to come up with new approaches to combat the pandemic.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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