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  • 标题:COVID-19 Data Visualization through Automatic Phase Detection
  • 本地全文:下载
  • 作者:PRADIPTA BISWAS ; KAMALPREET SINGH SALUJA ; SOMNATH ARJUN
  • 期刊名称:Digital Government: Research and Practice
  • 印刷版ISSN:2691-199X
  • 电子版ISSN:2639-0175
  • 出版年度:2020
  • 卷号:1
  • 页码:1-8
  • DOI:10.1145/3411756
  • 语种:English
  • 出版社:Association for Computing Machinery
  • 摘要:This article presents a new interactive visualization system to represent and compare rate ofspread of COVID-19 pandemic across different countries over time. We surveyed existing.visualization techniques used in various websites and media outlets and introduced use of aknee detection algorithm that divides the exponential spread in multiple linear components.Aset of use cases demonstrates the utility of the system in comparing the spread across different countries for both analysis and prediction.
  • 关键词:Information visualization;data science;COVID-19;knee detection
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