Analyzing and Predicting Covid-19 Dataset in India using Data Mining with Regression Analysis

Authors

  • Dr. P. Rajesh Assistant Professor, PG Department of Computer Science, Government Arts College, C.Mutlur, Chidambaram, Tamil Nadu, India. (Deputed from Department of Computer and Information Science Annamalai University, Chidambaram, India) Author
  • Vetrivel Govindarasu Senior Software Architect, Cognizant Technology Solutions, Thoraipakkam, Chennai, Tamil Nadu, India. Author

DOI:

https://doi.org/10.47392/irjash.2021.216

Keywords:

Covid-19, Data Mining, Regression model and Forecasting

Abstract

COVID-19 is a disease caused by coronavirus. 'CO' stands for corona, 'VI' for virus, and 'D' for disease. Formerly, this disease was referred to as '2019 novel coronavirus. The data mining is the best tools for analyzing and predicting the hidden information with the help of pre-existing dataset. The covid analysis and prediction for consider different related parameters namely name of the states, total cases, today cases, active cases, discharged cases, today discharged cases, overall death and today deaths. In this paper, taking consideration into analyzing and predicting covid dataset using statistical techniques namely regression model. Numerical illustrations also provide to prove the results and discussions.

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Published

2021-07-01

Issue

Vol. 3 No. 7S (2021): IRJASH Vol.03 (Special Issue 7S) Issue 7S-[JULY 2021]

Section

Research Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.