Aplicar Minería de Datos para definir perfiles ocupacionales en selección de personal requeridos por áreas críticas en la Armada del Ecuador

Abstract

The Navy of Ecuador, as an institution that contributes directly to the nation´s security, has as the foundation of its management to operational units, where the recruitment to integrate these critical areas has been carried out on a voluntary basis and have virtually no precise technical criteria used as to properly orient the selection, which has been considered using the available historical information of personnel, to find valid selection parameters for the effective application of this selection using Data Mining. It´s considers the CRISP-DM methodology and method of decision trees as the most appropriate, and applied to a sample of the population, whose data have been processed using the WEKA application for analysis and construction of a suitable decision tree to existing information. The analysis and methodology generate a decision tree with a very acceptable percentage of hits, with four parameters related to recruitment, whose data can be obtained from the database for future selection.