Predicting Crime Scene Location Details for First Responders

Abstract

Responding to an emergency or crime can be challenging especially when one does not fully know the location details. Often first responders arrive a crime scene with little information and then make their way around. During an emergency, when seconds count and first responder units need to locate individuals requiring immediate assistance, they simply don’t have the time to figure out the location details at the facility or residence. In this experiment, the author’s leverage statistical predictive modeling and machine learning techniques to analyze a public dataset to predict premise/location details for first responders with reasonable accuracy.