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Multi-Type Urban Crime Prediction

AAAI 2022 · Video › Video segmentation and tracking · approach: Spatio-temporal predictive modeling · 34 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Jointly model cross-type and spatio-temporal correlationsCrime prediction with CCC · NYC, 1-day predictionRMSE: 0.255 -> 0.223Helped
Jointly model cross-type and spatio-temporal correlationsCrime prediction with CCC · NYC, 7-day predictionRMSE: 0.360 -> 0.330Helped
Jointly model cross-type and spatio-temporal correlationsCrime prediction with CCC · NYC, 1-day predictionMAE: 0.029 -> 0.021Helped
Jointly model cross-type and spatio-temporal correlationsCrime prediction with CCC · NYC, 7-day predictionMAE: 0.042 -> 0.033Helped
Add cross-type correlation modeling (ablation)CCC crime prediction · NYC, 1-day and 7-day predictionRMSEHelped
Add intra-region temporal correlation modeling (ablation)CCC crime prediction · NYC, 1-day and 7-day predictionRMSEHelped
Add inter-region spatial correlation modeling (ablation)CCC crime prediction · NYC, 1-day and 7-day predictionRMSEHelped
Add shared weight vectors for common features across crime types (ablation)CCC crime prediction · NYC, 1-day and 7-day predictionRMSEHelped

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