2025
Cesario, Eugenio; Lindia, Paolo; Vinci, Andrea
Comparing machine learning-based crime hotspots vs police districts: what’s the best approach for crime forecasting? Journal Article
In: IEEE Access, pp. 1-1, 2025.
Links | BibTeX | Tags: Urban areas;Forecasting;Law enforcement;Clustering algorithms;Predictive models;Resource management;Public security;Prediction algorithms;Partitioning algorithms;Market research;crime forecasting;multi-density clustering;crime hotspots;regression analysis;smart cities;crime data mining;smart cities
@article{11096550,
title = {Comparing machine learning-based crime hotspots vs police districts: what’s the best approach for crime forecasting?},
author = { Eugenio Cesario and Paolo Lindia and Andrea Vinci},
doi = {10.1109/ACCESS.2025.3592668},
year = {2025},
date = {2025-01-01},
journal = {IEEE Access},
pages = {1-1},
keywords = {Urban areas;Forecasting;Law enforcement;Clustering algorithms;Predictive models;Resource management;Public security;Prediction algorithms;Partitioning algorithms;Market research;crime forecasting;multi-density clustering;crime hotspots;regression analysis;smart cities;crime data mining;smart cities},
pubstate = {published},
tppubtype = {article}
}