摘要
近年来青少年违法犯罪问题已经越来越成为亟待解决的社会问题,如何提出科学的有坚实理论依据的建议一直是研究的关键。本文将数据挖掘技术应用到青少年违法犯罪研究中,利用关联规则寻找青少年违法犯罪中隐藏的不直观的规律,比如多种罪行之间的关联以及外部环境对青少年犯罪的影响等。同时对相关实例数据进行关联规则分析来实现这个理论,最后得到了令人信服的结果,并根据这些结论提出了具有针对性的建议。
Adolescent illegal crime in recent years has become a pressing social problem to be solved and the research key of it ishow to put forward the advice with a solid theoretical foundation. In this paper data mining is applied to the adolescent illegal crimeprevention and using association rules to find the rule of not intuitive, for example, the link between various crimes and the externalenvironment's influence on juvenile crime. To achieve this theory, analyze the relevant instantiate data with association rules andget the convincing results. At last the pertinent advices are put forward according to the conclusion.
出处
《电脑知识与技术（过刊）》
2015年第8X期3-4,共2页
Computer Knowledge and Technology
基金
高精度SAR图像滤噪算法研究(No.14A520060)
关键词
青少年
违法犯罪
预防
数据挖掘
关联规则
adolescent
illegal criminal activity
prevention
data mining
association rules
