RESEARCH EXCEPTION ASSOCIATION ANALYSIS METHOD FOR OBSCENITY IN URBAN RAIL TRANSIT ENVIRONMENT

摘要

Urban rail transit safety is the top priority of urban public safety, and the construction of social security prevention and control system needs to be refined. This paper analyses the data characteristics of the incidents in the urban rail transit environment, and uses the exception correlation analysis method for data mining. The association rules with low support degree are obtained and this paper summarises the law of the occurrence of obscenity cases in the urban rail transit environment, and provides theoretical support and method guidance for the forensic detection of urban rail transit indecent offense cases.