Data Mining in Labor Productivity
Read ArticleDate of Conference
July 18-22, 2022
Published In
"Education, Research and Leadership in Post-pandemic Engineering: Resilient, Inclusive and Sustainable Actions"
Location of Conference
Boca Raton
Authors
Castrillón Gómez, Omar Danilo
Arango Marin, Jaime Antero
Giraldo Garcia, Jaime Alberto
Abstract
The fundamental objective of this article is to determine, through a data mining analysis, the most influential variables in the labor productivity of a person. Parting from a previously designed Database and by use of the Weka platform, it is possible to determine the most influential variables through a statistical selection process with an effectiveness greater than 84%.