摘要
Topological data analysis (TDA) has emerged as a method for understanding data clouds by extracting and comparing the structure of datasets. This paper applies one of the TDA instruments available which is called the Mapper algorithm to analyze the COVID-19 data in China. The Mapper graphs generated by the algorithm successfully reflect the development of COVID-19 across China and provide a relatively complete visualization of the pandemic. Experimental results indicate that the proposed method may have the potential to become a robust predictive tool for the spread of the coronavirus.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | IEEE 10th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2022 |
| 编辑 | Bing Xu |
| 出版商 | Institute of Electrical and Electronics Engineers Inc. |
| 页 | 469-473 |
| 页数 | 5 |
| ISBN（电子版） | 9781665422079 |
| DOI | |
| 出版状态 | 已出版 - 2022 |
| 活动 | 10th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2022 - Chongqing, 中国 期限: 17 6月 2022 → 19 6月 2022 |
出版系列
| 姓名 | IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC) |
|---|---|
| 卷 | 2022-June |
| ISSN（印刷版） | 2693-2865 |
会议
| 会议 | 10th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2022 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Chongqing |
| 时期 | 17/06/22 → 19/06/22 |
指纹
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Lu, Z., & Liu, H. (2022). A Topological Data Analysis Approach to the COVID-19. 在 B. Xu (编辑), IEEE 10th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2022 (页码 469-473). (IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC); 卷 2022-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITAIC54216.2022.9836495