Abstract

In a democracy, the link between government and society is fundamental to prevent corruption and to ensure the functioning of mechanisms for transparency, accountability of the guaranteeing bodies and access to information. This is why the State implements public policies on transparency. However, corruption has been a phenomenon that is present in the Public Administration and has not been able to diminish with these policies. The objective of this study is to analyze the variables on the perception of corruption in society using the Bayesian method. For this, the data were obtained from the National Institute of Statistics and Geography in the part of its portal National Survey on Quality and Government Impact 2015, in the section on corruption. For its later Bayesian analysis using the software ELVIRA through the algorithm K2. Erica Pascual-Garcia | Guillermo De la Torre-Gea"Bayesian Analysis to the experiences of corruption through Artificial Intelligence" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2 , February 2018, URL: http://www.ijtsrd.com/papers/ijtsrd2443.pdf http://www.ijtsrd.com/computer-science/data-miining/2443/bayesian-analysis-to-the-experiences-of-corruption-through-artificial-intelligence/erica-pascual-garcia

Authors and Affiliations