Determinación de modelos predictivos para los indicadores de competitividad empresarial aplicando regresión lineal

This research determines the levels of competitiveness of companies through the implementation of a Data Science technique, the technique used is the linear regression applied to the data collected from the most relevant productive and accounting operations of the companies. The results show the lev...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:RISTI : Revista Ibérica de Sistemas e Tecnologias de Informação 2019-02 (E18), p.94-107
Hauptverfasser: Pino, Ariosto Eugenio Vicuña, Chichande, Bryan Steven Cortez, Tovar, Yuleidy Jennifer Basurto
Format: Artikel
Sprache:spa
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This research determines the levels of competitiveness of companies through the implementation of a Data Science technique, the technique used is the linear regression applied to the data collected from the most relevant productive and accounting operations of the companies. The results show the levels of competitiveness of the companies formed by each of the indicators studied. Through the application of linear regression, the data models are obtained and the dependent variables are predicted for each competitiveness indicator. Data mining: practical machine learning tools and techniques.
ISSN:1646-9895