Detección de perfiles y patrones asociativos en la oficina de investigaciones disciplinarias y administrativas del comandante de la Fuerza Aérea Colombiana con Analítica Avanzada: enfoques exploratorio, predictivo y prescriptivo
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Bermúdez Ramos, Héctor Yezid | 2023
The purpose of this research work is to apply Machine Learning techniques in the area of Law, specifically on two types of legal processes that are carried out within the Colombian Military Forces (Army, Navy and Air Force), such as investigations of disciplinary and administrative responsibility. For this, it was considered that the law determines that the time established to perfect an investigation in its entirety cannot exceed five years, otherwise a prescription is given. This last term, from the legal point of view, refers to the termination of the investigation regardless of the state in which it is found. In this way, it prevents taking disciplinary action against those public officials who in some way broke the disciplinary law, or the impossibility of recovering State property due to loss or damage to these due to negligence or carelessness of the officials who have them in charge. in administrative liability investigations. Consequently, for this case study, the objective was focused on identifying all those legal processes, with a high probability of reaching the statute of limitations. The methodology used was Cross Industry Standard Process for Data Mining where it was necessary to obtain significant results, after testing a wide variety of models and highlighting mainly the achievement of the proposed objectives, due to the importance given to the knowledge of the subject. in this case, in learning about in-depth aspects inherent to the legal area.
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