Data Mining in Labor Productivity

Abstract

The fundamental objective of this article is to determine, through data mining analysis, the most influential variables in the labor productivity of a person. Parting from a previously designed database and with use of the Weka platform, it is determined through a statistical selection process, with an effectiveness greater than 82.15%, the most important variables. They are: Incentives, standard minute value, production target and number of workers.