Big data analysis in drug offense crime to advice education training course in police academy

Abstract

With the rapid development of emerging drug industry, Drug traffickers have more knowledge in marketing packaging and thus crime rate increased. Police are facing more and more investigations in drug-related offenses. This work uses Big-Data analytics technology and SEM Model which drawing on a large-scale sample of 87,926 court judgment documents for drug-related crime in Taiwan and Fujian. The result show reduced processing time significantly by Spark and No-SQL database technology. Simultaneously, Motel is a hotbed of drug-related offenses, Internet chat rooms are virtual places for cyber drug transactions, and Drug abusers always carry both gun and bullets. Based on the above results, the findings in this work may use for education training courses in the police academy.