Crime Forecasting Using Spatio-temporal Pattern with Ensemble Learning
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.
