Abstract

MARTINEZ MONCALEANO, Carlos Javier  and  PALENCIA FAJARDO, Ofelia. Data mining model for productivity and personal growth in women entrepreneurs analysis: The case of Asociación las Rosas. suma neg. [online]. 2021, vol.12, n.26, pp.23-30.  Epub Jan 22, 2021. ISSN 2215-910X.  https://doi.org/10.14349/sumneg/2021.v12.n26.a3.

The research objective was to implement appropriate data mining techniques in the analysis of a social enterprise, considering the question: what are the most appropriate classification models to evaluate the productivity and personal growth of the entrepreneurs of Association las Rosas? Considering social learning related to business growth and personal development.

A survey based in systematized information on the characterization of the business and personal development of the sample was taken as a basis; The first model made it possible to establish that productivity was determined by aspects such as the amount of debts that finance the undertakings, as well as the type of financing thereof. The second model established that female entrepreneurs perceive their personal growth and development will take place in the long term.

Keywords : Data mining; productivity; association; personal growth; business.

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