Exploring the Influence of Sociodemographic Backgrounds on Money Mule Recruitment Types in South Korea: An Analysis of Probabilities from Machine Learning Classifiers
Exploring the Influence of Sociodemographic Backgrounds on Money Mule Recruitment Types in South Korea: An Analysis of Probabilities from Machine Learning Classifiers
Sunmin HongChangho LeeUniversity of Texas at Dallas, Richardson, TX, USASunmin Hong is a doctoral student in the Criminology and Criminal Justice Program at The University of Texas at Dallas. His research primarily focuses on cybercrime, examining the dynamics of cyberspace and its link to criminal activities.Changho Lee is a doctoral student in Geospatial Information Sciences at The University of Texas at Dallas. His research interests lie in spatial statistics, spatial optimization, and geospatial artificial intelligence, focusing on urban issues such as environment, health, and crime.