Crime pattern analysis (CPA) is the process of analytical reasoning facilitated by an understanding about the nature of an underlying spatial framework that generates crime. For example, law enforcement agencies may seek to identify regions of sudden increase in crime activity, namely, crime outbreaks. Many analytical tools facilitate this reasoning process by providing support for techniques such as hotspot analysis. However in practice, police departments are desirous of scalable tools ...
Given a collection of Boolean spatio-temporal(ST) event types, the cascading spatio-temporal pattern (CSTP) discovery process finds partially ordered subsets of event-types whose instances are located together and occur in stages. For example, analysis of crime datasets may reveal frequent occurrence of misdemeanors and drunk driving after bar closings on weekends and after large gatherings such as football games. Discovering CSTPs from ST datasets is important for application domains such as ...
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