Spatio-temporal probabilistic modeling based on Gaussian mixture models and neural gas theory for prediction of criminal activity
Criminal risk models are used to assist security forces both in the identification of zones with high of criminal activity for better resource allocation and prediction of future criminal events for the prevention of new crimes. In this sense, spatio-temporal models are widely employed by their capa...
| Autores Principales: | Jaramillo, Francisco, L. Quintero, Vanessa, Perez, Aramis, Orchard, Marcos |
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| Formato: | Artículo |
| Idioma: | Inglés Inglés |
| Publicado: |
Annual Conference of the Prognostics and Health Management Society 2017
2019
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| Materias: | |
| Acceso en línea: |
http://ridda2.utp.ac.pa/handle/123456789/6153 |