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Data Mining in Labor Productivity

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Date 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%.

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