Andry, Johanes Fernandes and Tannady, Hendy and Rembulan, Glisina Dwinoor and Dinata, David Freggy (2023) Analysis of the Omicron virus cases using data mining methods in rapid miner applications. Microbes and Infectious Diseases, 4 (2). pp. 323-334. ISSN 2682-4140
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Abstract
Background: Omicron has respiratory problems and pneumonia in general and specific terms. This pandemic was ravaging all countries in the world. This virus outbreak had new types to appear or so-called new variants that are still being studied by experts. Computer-assisted methods (includes smart intelligence systems, algorithms, and data mining) is key solution for detecting variants of virus. Methods: In present study, it discussed and analyzed the omicron variant which is one of the variants of the Coronavirus 2019 (COVID-19). It’s a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The emergence of this Omicron variant of COVID-19, raised more concern in the world because of its dangerous ability and the high level of spread of omicron cases. Analysis using the k-means algorithm in order to determine the level of distribution of the virus variant. Result: From the results and outputs found in this method, it is concluded that this method is used to divide the data into 3 clusters of case distribution of the Omicron variant which has been understood as a level in the distribution of cases where cluster 0 is low level, cluster 1 is high level, and cluster 2 is medium level. Conclusion: Therefore, this data mining method with special clustering and data-mining techniques give the highest number of virus distributions in which countries and divide some countries into several clusters.
| Item Type: | Article |
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| Keywords: | COVID-19, Omicron, Clustering, K-Means, RapidMiner |
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 004 Computer Science, Data Processing, Hardware 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming > 005.2 Programming for Specific Computers, Algorithm, HTML, PHP, java, C++ |
| Divisions: | Faculty of Business > Management |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 23 Oct 2023 02:38 |
| Last Modified: | 23 Oct 2023 02:38 |
| URI: | https://kc.umn.ac.id/id/eprint/26982 |
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