—Child labor is an issue of utmost importance to the
world. According to the ILO (International Labour
Organisation) nearby 218 million children between 5 and 17
work in the world, of which 50% holds hazardous work, The
question rises up on how to locate and understand the factors
about those families that generates the indices of child labor,
and which properties are important to analyze. By the use of
data mining techniques to discover valid patterns among
Brazilian social data bases, we evaluate child labor in the
federated state of Tocantins. This work has the purpose towards
uncovering the deterministic factors for the practice of child
labor and their relationships among financial, educational,
cultural and social indicators; generating information that was
not aware provided by data bases feeders, being hidden among
—Data mining, social data, child labor, welfare.
Diego C. Rodrigues is with the Department of Labor and Social Welfare
of the State of Tocantins (e-mail: firstname.lastname@example.org).
David N. Prata is with Federal University of Tocantins, CO 77.001-009
BRA. He is coordinating the Master Degree Program of Computational
Modeling, Palmas-TO (e-mail: email@example.com).
Michel A. Silva is with the Computational Modeling in Federal
University of Tocantins, CO 77.001-009 BRA (e-mail: firstname.lastname@example.org).
Cite: Diego C. Rodrigues, David N. Prata, and Michel A. Silva, " Exploring Social Data to Understand Child Labor," International Journal of Social Science and Humanity vol. 5, no. 1, pp. 29-33, 2015.