Banca de DEFESA: Amilton Lobo Mendes Junior

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : Amilton Lobo Mendes Junior
DATE: 04/07/2023
TIME: 10:00
LOCAL: Plataforma Teams
TITLE:

The use of classification techniques applied to the profiling of workers in the National Employment System: a machine learning approach

KEY WORDS:

Machine learning, Public employment system, Worker profiling, Supervised learning

PAGES: 42
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUBÁREA: Metodologia e Técnicas da Computação
SUMMARY:

The present work proposes the application of machine learning in the profiling of workers of brazilian public employment system, the National Employment System - NES ( Sine in portuguese ). The use of an automated mechanism of workers profiling will allow efforts to be directed to the preventive treatment of those workers most likely to remain outside the formal labor market longer. Accuracy and F1-Score were used as metrics in the evaluation of the proposed models. The model with the best results in the experiments was the Extreme Gradient Boosting. Future improvements may include the addition of features related to workers profile, to local labor market and to transitions of occupations, economic sectors and residence

COMMITTEE MEMBERS:
Presidente - 2866456 - GLADSTON LUIZ DA SILVA
Interno - 402520 - MARCELO LADEIRA
Interna - 1713597 - MARISTELA TERTO DE HOLANDA
Externo à Instituição - FRANCISCO JOSÉ DA SILVA E SILVA - UFMA