Rule-based Mining of Juvenile Delinquency

The incremental expansion of juvenile delinquency or criminal offence done by children below 18 years age is extensively perceived in India. There are innumerable elements like family & parents, schooling & education levels, monetary problems, internet, easy online videos availability, peer groups, mental issues, drugs, media, etc tender for immoral ideas in the teens. In this research paper, we extend the work of association rule mining of Juvenile delinquency [3] with two major risk elements, family background & education levels of children convoluted in crimes. We discover strong rules connecting family background, education levels and juvenile delinquency with Indian Juvenile crime dataset by association rule mining, a rule- based machine learning mechanism.