Development of the Dynamic Bayesian Network to Evaluate the National Law Enforcement Agencies' Work

Autor:	Roman Baranenko, Nataliia Savina, Ivan Lopushynskyi, Mariia Voronenko, Nataliia Krugla, Anna Pashnina, Volodymyr Lytvynenko
Rok vydání:	2019
Předmět:	Work (electrical) Operations research business.industry Computer science media_common.quotation_subject Law enforcement Information technology ComputingMilieux_LEGALASPECTSOFCOMPUTING Quality (business) business Dynamic Bayesian network media_common
Zdroj:	IDAACS
Popis:	The article is devoted to the information technology of using dynamic Bayesian networks (DBN) for assessing and modeling the quality of law enforcement agencies' work. A DBN model has been developed for analyzing and predicting the criminal situation in the region. The model was designed in collaboration with law enforcement officers, as well as forensic experts in the selection and quantification of input and output variables. The model was validated on a data set for the period from 2009 to 2019.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e7dbb1e5cca61950e92b798be0426ce3 https://doi.org/10.1109/idaacs.2019.8924346 Zobrazit plný text záznamu