Multi-instance learning with application to the profiling of multi-victim homicides
Delgado de la Torre, Rosario (Universitat Autònoma de Barcelona. Departament de Matemàtiques)
Sánchez-Delgado, Héctor (Data Quality and Statistics Executive)

Fecha:	2024
Resumen:	Homicide involving multiple victims has a significant negative effect on society. Criminal profiling consists of determining the traits of an unknown offender based on those of the crime and the victims, with a view to their identification. To provide the most likely profile of the perpetrator of a multi-victim homicide, we propose a predictive model of supervised machine learning based on a Bayesian Network. Conventional classifiers can generate the perpetrator's profile according to the traits of each of the victims of the same homicide, but the profiles may differ from one another. To address this issue, we consider the Multi-Instance (MI) learning framework, in which the victims of the same incident form a bag, and each bag is associated with a unique label for each of the perpetrator's features. We introduce the unanimity MI assumption in this domain, and accordingly allocate a label to the bag based on the labels and probabilities the Bayesian Network has assigned its instances, using a combination rulefrom those of the ensemble of classifiers. We apply this methodology to the Federal Bureau of Investigation (FBI) homicide database to compare three combination rules empirically in the validation process, as well as theoretically, using the one that ultimately proves to be the best to build the final model, which is then applied in some illustrative examples to achieve the criminal profile. PID2021-123733NB-I00.
Nota:	Altres ajuts: acords transformatius de la UAB
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Bayesian Network ; Combination rule ; Criminal profile ; Ensemble ; Multi-instance (MI) learning ; Multiple/mass homicide
Publicado en:	Expert Systems with Applications, Vol. 237, Issue B (March 2024) , art. 121593, ISSN 0957-4174

DOI: 10.1016/j.eswa.2023.121593

15 p, 1.1 MB

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