Currently, data analysis in higher education institutions is not a luxury, it is a necessity. The large amounts of data generated through university academic functions are the main reason for an analysis and representation of these; since they will allow an adequate decision making in the university academic processes. In this work we propose to perform an analysis of the data generated in the Israel Technological University from Ecuador in the period 2012–2018; for this we apply Data mining algorithms to make suitable predictions and by using data visualization techniques to represent this information allowing us to easily understand it; as a result, relevant information is obtained that will allow the personnel in charge to make the appropriate decisions and improve the processes that have low percentages.
CITATION STYLE
Baldeon Egas, P. F., Gaibor Saltos, M. A., & Toasa, R. (2020). Application of Data Mining and Data Visualization in Strategic Management Data at Israel Technological University of Ecuador. In Advances in Intelligent Systems and Computing (Vol. 1066, pp. 419–431). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-32022-5_39
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