Predicting Spatial Crime Occurrences through an Efficient Ensemble-Learning Model

Predicting Spatial Crime Occurrences through an Efficient Ensemble-Learning Model

While the use of crime data has been widely advocated in the literature, its availability is often limited to large urban cities and isolated databases that tend not to allow for spatial comparisons. This paper presents an efficient machine learning framework capable of predicting spatial crime occu...

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Bibliographic Details
Main Authors: Yasmine Lamari, Bartol Freskura, Anass Abdessamad, Sarah Eichberg, Simon de Bonviller
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:ISPRS International Journal of Geo-Information
Subjects:
crime prediction
ensemble learning
machine learning
regression
Online Access:https://www.mdpi.com/2220-9964/9/11/645

Internet

https://www.mdpi.com/2220-9964/9/11/645

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