IJSSH 2015 Vol.5(1): 29-33 ISSN: 2010-3646
DOI: 10.7763/IJSSH.2015.V5.416

Exploring Social Data to Understand Child Labor

Diego C. Rodrigues, David N. Prata, and Michel A. Silva
Abstract—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 records.

Index Terms—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: diego.msn@globo.com).
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: ddnprata@uft.edu.br).
Michel A. Silva is with the Computational Modeling in Federal University of Tocantins, CO 77.001-009 BRA (e-mail: tensoja@gmail.com).

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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.

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