Machine Learning Based Time Series Analysis for COVID-19 Cases in India
- Title
- Machine Learning Based Time Series Analysis for COVID-19 Cases in India
- Creator
- Sagaya Aurelia P.; Aruna S K.; Rekha V.
- Description
- The World Health Organization declared the Coronavirus Infection, or COVID-19, to be widespread. One of the most appropriate methodologies for COVID-19 is time series analysis. The most appropriate technique for COVID-19 is time series analysis. It can be applied to Recognizing Information Patterns and Predicting Insights. The paper summarises the components of time series using the COVID-19 dataset for India as an example of one of the most important methodologies in predictive analytics. Time series models are chosen because they can predict future outcomes, comprehend prior outcomes, provide strategy recommendations, and much more. These common goalrists of temporal arrangement modelling do not differ significantly from those of cross-sectional or board data modelling. Machine Learning may be a well-known fact that it is an excellent technique for imagining, discourse, and standard dialect management for a large clarified accessible dataset. The results for confirmed, recovered, and death cases are presented in this study. 2022 IEEE.
- Source
- 8th International Conference on Advanced Computing and Communication Systems, ICACCS 2022, pp. 1932-1937.
- Date
- 2022-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Covid-19; forecasting; India; Machine learning; Prediction model; seasonality; Time series analysis; Trends
- Coverage
- Sagaya Aurelia P., Christ (Deemed to Be University), Department of Computer Science, Karnataka, Bangalore, India; Aruna S K., Christ (Deemed to Be University), Department of Cse, Karnataka, Bangalore, India; Rekha V., Christ (Deemed to Be University), Department of Cse, Karnataka, Bangalore, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-166540816-5
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Sagaya Aurelia P.; Aruna S K.; Rekha V., “Machine Learning Based Time Series Analysis for COVID-19 Cases in India,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/20288.