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Application of Data Mining and Data Visualization in Strategic Management Data at Israel Technological University of Ecuador

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Book cover Advances in Emerging Trends and Technologies (ICAETT 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1066))

Abstract

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.

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Author information

Authors and Affiliations

  1. Universidad Tecnológica Israel, Quito, Ecuador

    Paul Francisco Baldeon Egas, Miguel Alfredo Gaibor Saltos & Renato Toasa

Authors
  1. Paul Francisco Baldeon Egas
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  2. Miguel Alfredo Gaibor Saltos
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  3. Renato Toasa
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Corresponding author

Correspondence to Paul Francisco Baldeon Egas .

Editor information

Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, Noord-Brabant, The Netherlands

    Miguel Botto-Tobar

  2. Universidad Técnica de Babahoyo, Babahoyo, Ecuador

    Joffre León-Acurio

  3. Universitat de Valencia, Valencia, Valencia, Spain

    Angela Díaz Cadena

  4. Centro de Investigación y Desarrollo Profesional, Babahoyo, Los Rios Province, Ecuador

    Práxedes Montiel Díaz

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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: Botto-Tobar, M., León-Acurio, J., Díaz Cadena, A., Montiel Díaz, P. (eds) Advances in Emerging Trends and Technologies. ICAETT 2019. Advances in Intelligent Systems and Computing, vol 1066. Springer, Cham. https://doi.org/10.1007/978-3-030-32022-5_39

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