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Research on Juvenile Crime Education Based on Data Mining

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DOI: 10.23977/AGEED2022.014


Chen Wang

Corresponding Author

Chen Wang


At present, juvenile delinquency has become one of the three major public hazards in the world, bringing serious harm to society as well as environmental pollution and drug trafficking. Juvenile delinquency has the greatest impact on social development and stability, and has become an important issue of concern throughout the world in recent years. With the increase of juvenile delinquency cases in recent years, people pay more and more attention to the prevention and correction of juvenile delinquency. Juvenile delinquency is a kind of anomie behavior under many factors. As the basic line of defense to prevent juvenile delinquency, “soft quality” education must be consolidated and play its due role. This paper uses data mining decision tree model to quickly and effectively analyze juvenile delinquency data, which has a certain supporting role for decision-making work of relevant departments, and also provides theoretical guidance for juvenile delinquency prevention education, so it has very important practical significance.


Data mining, Juveniles, Criminal education

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