Transdisciplinary Applications of Data Visualization and Data Mining Techniques as Represented for Human Diseases
Richard S. Segall
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Richard S. Segall
Department of Information Systems & Business Analytics, Neil Griffin College of Business, Arkansas State University, State University, Arkansas, United States
Cite this paper as:Segall, R. S. (2024). Transdisciplinary Applications of Data Visualization and Data Mining Techniques as Represented for Human Diseases.
Journal of Systemics, Cybernetics and Informatics, 22(7), 6-15. https://doi.org/10.54808/JSCI.22.07.6
Online ISSN (Journal): 1690-4524
Abstract
Data visualization and data mining are transdisciplinary tools for predictive and descriptive analytics. This presentation shows the abundance of data visualization tools currently available that are applicable for multi-disciplinary data. Some examples of visualization are presented as applied for multi-disciplines.
Results of applying the most commonly used data visualization tools of Tableau [1] and Power BI [2] are presented as preliminary outputs of a funded Seed Money Grant that applies data for transmissible diseases for humans and also plant pathology.
Tableau Software, LLC is an American interactive data visualization software company focused on business intelligence and can be used across all disciplines. Tableau products query relational databases, online analytical processing cubes, cloud databases, and spreadsheets to generate graph-type data visualizations.[1] Power BI (Business Intelligence) is a suite of business analytics tools developed by Microsoft that is widely used across various industries for business reporting, data analysis, and decision-making. [2]
Future directions of this research are discussed that include using other data mining and visualization methods such as image processing techniques for applications to data for plant pathology and human diseases.
