Research on crime location prediction based on artificial intelligence and data mining

Abstract

This paper uses data mining technology and artificial intelligence technology to establish a crime risk prediction model for urban scenes. We provide a low-cost and large-scale crime risk prediction method. We combine scenario analysis of crime with scenario risk prediction. The method presented in this paper can effectively identify the scenario variation characteristics of crimes and has a good effect on identifying the elements and layout characteristics of urban scenes with high crime risk. In addition, we consider the scenario influence factors of crime and dig deeper into the causes of crime, providing a reference for multi-scale crime geography research. This study helps promote the interaction between other subjects and criminal geography.