… [29] characterized the visual analytics process through a longitudinal field study, suggesting
design implications backed by research to improve the process. Likewise, Tory et al. [64] …

… data analytics, we outline how these can be leveraged in addressing contemporary management
issues stemming from COVID-19 … (Chang, 2018) and developing a visual analytics and …

… COVID19 spread of each country into our database. Its purpose is for analysis to see the
behavior of flight traffic for the countries that were affected by COVID-19. We also provided the …

… mining [27-32], machine learning [33-35], mathematical or statistical models [36-38], data
analytics [39-44], visualization, and/or visual analytics [45-47]—are indispensable for …

… data science algorithm for analyzing big COVID-19 epidemiological data, with focus on the
temporal data analytics with … of visual analytics [61] with our data science algorithm to conduct …

… With the current situation of covid 19, there has been a paradigm shift within the educational
sector, forcing visual media as the key source of education and learning, with many …

… of COVID-19 … analytics techniques available for trend analysis, different models and
algorithms, and their comparison. Finally, this chapter concludes with the prediction of COVID-19 …

… the COVID-19 scale by 2020. Therefore, this chapter discusses the possible application of
big data and analytics to … , identify and avoid COVID-19 and reduce its health effects implicitly. …

… data-based strategic decisions with confidence. This paper discusses an overview of innovative
analytic approaches for tackling COVID-19 … complex data sets, analytic epidemiological …

… Televis: Visualization of COVID-19 news based on NLP The work presents a visual analysis
… ; “Wang Feng Tai”, a visual analysis application driven by natural language search; and “Yu …