Algorithms for crime prediction in smart cities through data mining

The concentration of police resources in conflict zones contributes to the reduction of crime in the region and the optimization of those resources. This paper presents the use of regression techniques to predict the number of criminal acts in Colombian municipalities. To this end, a set of data was...

Full description

Autores:

Silva, Jesús
Romero Marin, Ligia Cielo
Jiménez González, Roberto
Larios, Omar
Barrantes, Fanny
Pineda, Omar
Manotas, Alberto

Tipo de recurso:

Article of journal

Fecha de publicación:

2020

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/7743

Acceso en línea:

https://hdl.handle.net/11323/7743
https://doi.org/10.1007/978-981-15-4875-8_45
https://repositorio.cuc.edu.co/

Palabra clave:

Public data
Data mining
Prediction of facts

Rights

openAccess

License

Attribution-NonCommercial-NoDerivatives 4.0 International