1
Assistant Professor, Department of Criminal Law and Criminology, Faculty of Governance, Isfahan Branch (Khorasgan), Islamic Azad University, Isfahan, Iran
2
Mohammad Ghasemi/Doctoral student of Criminal Law and Criminology, Department of Law, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan , Iran
3
Assistant Professor, Department of Law, Faculty of Administrative Sciences and Economics, Isfahan University, Isfahan, Iran
Abstract
The current research aims to study "prediction and prevention of drug crimes based on data mining knowledge". From this point of view, after expanding the conceptual space of the subject, a quantitative research strategy of the secondary analysis type has been used in such a way that with Having a check list or a reverse questionnaire tool has been collected from 1885 cases of criminal cases in the execution of sentences in Shahryar city and has been subjected to descriptive and inferential analysis to validate the research tool using qualitative content validity. and also used the reliability coefficient for the reliability measurement and its value is estimated to be 8 tenths. The findings of the research show that among the types of algorithms used, the random forest algorithm is the most and most accurate algorithm in data classification. In addition, drug crimes have been more influenced by gender, which shows a significant difference between men and women.
Yousafzadeh,A. , ghasemi,M. and Shadmanfar,M. R. (2025). Policy making of the Islamic Republic of Iran in the prevention of drug-related crimes with an emphasis on data mining knowledge. (e214693). The Islamic Revolution Approach, (), e214693
MLA
Yousafzadeh,A. , , ghasemi,M. , and Shadmanfar,M. R. . "Policy making of the Islamic Republic of Iran in the prevention of drug-related crimes with an emphasis on data mining knowledge" .e214693 , The Islamic Revolution Approach, , , 2025, e214693.
HARVARD
Yousafzadeh A., ghasemi M., Shadmanfar M. R. (2025). 'Policy making of the Islamic Republic of Iran in the prevention of drug-related crimes with an emphasis on data mining knowledge', The Islamic Revolution Approach, (), e214693.
CHICAGO
A. Yousafzadeh, M. ghasemi and M. R. Shadmanfar, "Policy making of the Islamic Republic of Iran in the prevention of drug-related crimes with an emphasis on data mining knowledge," The Islamic Revolution Approach, (2025): e214693,
VANCOUVER
Yousafzadeh A., ghasemi M., Shadmanfar M. R. Policy making of the Islamic Republic of Iran in the prevention of drug-related crimes with an emphasis on data mining knowledge. The Islamic Revolution Approach, 2025; (): e214693.
