A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Fine-Grained Crime Prediction in an Urban Neighborhood
Crime is a serious problem that has severe implications on city resources. In this work, we present a novel probabilistic model that predicts the occurrence of various crime types by learning from previous crime incidents and takes advantage of joint dependencies across crime types. We perform a preliminary evaluation using a real-world dataset of crime incidents reported in Memphis across several precincts which shows the promise of our approach.
Fine-Grained Crime Prediction in an Urban Neighborhood
Crime is a serious problem that has severe implications on city resources. In this work, we present a novel probabilistic model that predicts the occurrence of various crime types by learning from previous crime incidents and takes advantage of joint dependencies across crime types. We perform a preliminary evaluation using a real-world dataset of crime incidents reported in Memphis across several precincts which shows the promise of our approach.
Fine-Grained Crime Prediction in an Urban Neighborhood
Kent, Christopher (author) / Venugopal, Deepak (author)
2018-09-01
257225 byte
Conference paper
Electronic Resource
English
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