EMERGING PATTERN BASED STREET CRIME ANALYSIS

Street-level spatial analysis of crime location associated with built environment in Fushimi ward, Kyoto city

Abstract

We analyze the relationship between bag snatching and spatial relationships in Kyoto City. In particular, we model natural surveillance with various facade components. We then analyze the data as a classification problem that divides space into areas in which crimes occur and areas in which crimes do not occur. Since there exists fuzziness in the categorization of space, we propose a new approach that combines clustering and classification based on semi-supervised learning, which determines the categorization so as to improve classification accuracy. In addition, we use an emerging pattern based classifier and obtain spatial features related to crime.