Forecasting COVID‐19 cases using dynamic time warping and incremental machine learning methods
Forecasting COVID‐19 cases using dynamic time warping and incremental machine learning methods
About this item
Full title
Author / Creator
Publisher
Oxford: Blackwell Publishing Ltd
Journal title
Language
English
Formats
Publication information
Publisher
Oxford: Blackwell Publishing Ltd
Subjects
More information
Scope and Contents
Contents
The investment of time and resources for developing better strategies is key to dealing with future pandemics. In this work, we recreated the situation of COVID‐19 across the year 2020, when the pandemic started spreading worldwide. We conducted experiments to predict the coronavirus cases for the 50 countries with the most cases during 2020. We co...
Alternative Titles
Full title
Forecasting COVID‐19 cases using dynamic time warping and incremental machine learning methods
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2822550754
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2822550754
Other Identifiers
ISSN
0266-4720
E-ISSN
1468-0394
DOI
10.1111/exsy.13237
