Extraction and Visualization of Data Mining Knowledge Map in Covid-19 Research. (English)

The most important objectives of this research are to evaluate and illustrate the knowledge map of data mining in covid-19 research, to identify the various components and relationships between data mining concepts in different fields of covid-19 studies. The research method is applied and descriptive. In this research, we utilize the content analysis and text mining techniques. One of the findings of the current research is that a group of researches was related to the "structure and human nature of the disease". Another group of research looked at the set of factors related to adulthood that could be the basis for the absorption of the Covid-19 virus. In the co-authoring section, the highest amount of cooperation was between America and India. The data mining map of Covid-19 is based on thematic modeling including the structure and human nature of the disease, the background and structure of the virus, pandemic prevention, and computer science and artificial intelligence. In this research, according to the use of information technology tools and text mining techniques, a large amount of research has been studied. The presented knowledge map deals with the thematic separation of the researches and information discovery in each collection, so it enables the possibility of comparison between specific thematic groups. In this research, the components of data mining concepts in different fields of Covid-19 studies were examined in six dimensions. In the sixth dimension, the data mining map of Covid-19 was presented based on thematic modeling. [ABSTRACT FROM AUTHOR]

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