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Crime Forecasting Using Spatio-temporal Pattern with Ensemble Learning

Chung-Hsien Yu,W. Ding,Ping Chen,Melissa Morabito

2014 · DOI: 10.1007/978-3-319-06605-9_15
Pacific-Asia Conference on Knowledge Discovery and Data Mining · 42 Citations

TLDR

The proposed Cluster-Confidence-Rate-Boosting (CCRBoost) algorithm is designed and developed to efficiently select relevant local spatio-temporal patterns to construct a global crime pattern from a training set that is used for future crime prediction.