Revealing Covid-19 Data By Data Mining And Visualization

In the current era of big data, huge volumes of valuable data are generated and collected at a rapid velocity from a wide variety of rich data sources. Examples include disease and epidemiological data such as privacy-preserving statistics on patients who suffered from epidemic diseases like the coronavirus disease 2019 (COVID-19). Embedded in the huge volumes of COVID-19 data for large numbers of COVID-19 cases around the world is implicit, previously unknown and potentially useful information and knowledge-which can be discovered by data mining. As "a picture is worth a thousand words", having the pictorial representation further enhances this knowledge discovery process. Visualization of COVID-19 data helps users discover useful information and knowledge-such as popular features and their associative relationships-related to COVID-19 cases. Moreover, visualization of discovered knowledge helps users get a better understanding and interpretation of discovered knowledge. Hence, in this paper, we present a data science solution that makes good use of both data mining and visualization for conducting data analytics and visual analytics of COVID-19 data to reveal important information and knowledge from COVID-19. Evaluation on real-life COVID-19 data demonstrates the effectiveness of our solution in revealing useful information and knowledge of COVID-19 by data mining and visualization.