Resumen

HOYOS PINEDA, Jorge Gabriel  y  APONTE-NOVOA, Fredy Andrés. Characterization of the students of a higher education institution through big data. Ing. Desarro. [online]. 2019, vol.37, n.2, pp.159-172. ISSN 0122-3461.  https://doi.org/10.14482/inde.37.2.1378.

This article presents results of a research project whose main objective was to characterize students of a higher education institution through the use of big data techniques and tools. This with the purpose of providing the institution with a tool to support decision-making related to the student community. The project was developed in five phases: strategy definition; data capture and measurement, data analysis, results report, and, business transformation. As data analysis techniques, the Pearson correlation coefficient and the k-means grouping were used. As a result, an inventory and characterization of the data sources was obtained, as well as a model of analysis and information processing, when it is applied, generates a characterization of a student community.

Palabras clave : big data; clustering; data analysis; Pearson correlation; students characterization.

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