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 al...

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Bibliographic Details
Authors: Atsa’am, Donald Douglas (Author) ; Gbaden, Terlumun (Author) ; Wario, Ruth Diko (Author)
Format: Electronic Article
Language:English
Published: 2023
In: Journal of drug issues
Year: 2023, Volume: 53, Issue: 4, Pages: 637-646
Online Access: Volltext (kostenfrei)
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Keywords:
suspect’s age
suspect’s gender
non-drug peddler
drug peddler
association rule
Description
Summary: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.
ISSN:1945-1369
DOI:10.1177/00220426221140010