Association Rules on Attributes of Illicit Drugs, Suspect’s Demographics and Offence Categories
نویسندگان
چکیده
Association rules mining technique was employed to extract 6 that show the co-occurrences of attributes on illicit drug types, suspects’ demographics, and categories offences. A dataset 262 arrestees various offences utilized for extraction using apriori algorithm. The reveal different levels involvement with drugs by suspects varying ages. established provide a form segmentation which could guide how control intervention programs are designed deployed. Further, serve as reference tool security agents when dealing offenders.
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ژورنال
عنوان ژورنال: Journal of Drug Issues
سال: 2022
ISSN: ['1945-1369', '0022-0426']
DOI: https://doi.org/10.1177/00220426221140010