Identifying the Important Demographic and Financial Factors Related to the Mortality Rate of COVID-19 with Data Mining Techniques

Citation

Zainudin, Nur Sara and Ng, Keng Hoong and Khor, Kok Chin (2021) Identifying the Important Demographic and Financial Factors Related to the Mortality Rate of COVID-19 with Data Mining Techniques. Communications in Computer and Information Science, 1489. pp. 241-253. ISSN 1865-0929

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Item Type: Article
Uncontrolled Keywords: COVID-19, Mortality rate, Classification, Regression
Subjects: H Social Sciences > HB Economic theory. Demography
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 03 Dec 2021 04:47
Last Modified: 03 Dec 2021 04:47
URII: http://shdl.mmu.edu.my/id/eprint/9813

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