Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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According to the ILO (International Labour Organisation) about 218 million children between 5 and 17 years working in the world, of which 50% have jobs at risk. On the basis of this information, arising questions on how to understand and find the factors that comprise the ratings of child labour, and which properties are important to analyze these cases.With the use of data mining techniques to find valid patterns on Brazilian social databases were evaluated data of child labour in the State of Tocantins (located north of Brazil with a territory of 277 thousand ㎢ and composed of 139 cities).This work aims to identify factors that are deterministic to the practice of child labour and their relationships with financial indicators, educational, social, and regional generating information that are not explicit in the Government database, thus enabling a better monitoring and updating policies to that end.
Diego C. Rodrigues. 2014. \u201cAssociation of Social Data\u201d. Global Journal of Human-Social Science - A: Arts & Humanities GJHSS-A Volume 14 (GJHSS Volume 14 Issue A10): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
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Neural Networks and Rules-based Systems used to Find Rational and
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According to the ILO (International Labour Organisation) about 218 million children between 5 and 17 years working in the world, of which 50% have jobs at risk. On the basis of this information, arising questions on how to understand and find the factors that comprise the ratings of child labour, and which properties are important to analyze these cases.With the use of data mining techniques to find valid patterns on Brazilian social databases were evaluated data of child labour in the State of Tocantins (located north of Brazil with a territory of 277 thousand ㎢ and composed of 139 cities).This work aims to identify factors that are deterministic to the practice of child labour and their relationships with financial indicators, educational, social, and regional generating information that are not explicit in the Government database, thus enabling a better monitoring and updating policies to that end.
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