关于非法药物属性、犯罪嫌疑人人口统计和犯罪类别的协会规则

IF 1.2 4区 社会学 Q4 SUBSTANCE ABUSE
D. Atsa’am, T. Gbaden, R. Wario
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引用次数: 1

摘要

采用关联规则挖掘技术提取了6条规则,这些规则显示了非法药物类型、嫌疑人人口统计和毒品犯罪类别的属性的共同出现。使用apriori算法,利用262名各类毒品犯罪被捕者的数据集进行规则提取。这些规则揭示了不同年龄的嫌疑人参与各种非法药物的不同程度。既定规则提供了一种毒品嫌疑人分割形式,可以指导如何设计和部署毒品控制和干预计划。此外,这些规则可以作为安全人员在处理毒品嫌疑人和罪犯时的参考工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association Rules on Attributes of Illicit Drugs, Suspect’s Demographics and Offence Categories
Association rules mining technique was employed to extract 6 rules that show the co-occurrences of the attributes on illicit drug types, suspects’ demographics, and categories of drug offences. A dataset on 262 arrestees of various drug offences was utilized for rules extraction using the apriori algorithm. The rules reveal the different levels of involvement with various illicit drugs by suspects of varying ages. The established rules provide a form of drug suspects segmentation which could guide how drug control and intervention programs are designed and deployed. Further, the rules could serve as a reference tool for security agents when dealing with drug suspects and offenders.
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来源期刊
Journal of Drug Issues
Journal of Drug Issues SUBSTANCE ABUSE-
CiteScore
3.00
自引率
11.80%
发文量
52
期刊介绍: The Journal of Drug Issues (JDI) was incorporated as a nonprofit entity in the State of Florida in 1971. In 1996, JDI was transferred to the Florida State University College of Criminology and Criminal Justice, and the Richard L. Rachin Endowment was established to support its continued publication. Since its inception, JDI has been dedicated to providing a professional and scholarly forum centered on the national and international problems associated with drugs, especially illicit drugs. It is a refereed publication with international contributors and subscribers. As a leader in its field, JDI is an instrument widely used by research scholars, public policy analysts, and those involved in the day-to-day struggle against the problem of drug abuse.
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