Abstract

Mobile applications are types of technologies and resources connected to the Internet that constitute the backbone of mobile government, where its applications constitute a very broad development scenario. However, only a small number of mobile applications have managed to excel in e-government. Due to the complexity of the phenomenon, it is difficult to perform an analysis that takes into account each activity carried out on the internet as a variable of a system, so the objective of this study was to analyze the use of the Internet through Bayesian networks. , that can be used for the development of strategies in matters of government. We managed to model a Bayesian network using the K2 classification algorithm, using the open data of the Intercensal Survey 2015 conducted by the National Institute of Statistics and Geography. Rafael Rentería Gaeta | Guillermo Alfonso de la Torre-Gea "Bayesian analysis of internet access through apps as an e-government development strategy in Mexico" 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/ijtsrd9528.pdf http://www.ijtsrd.com/computer-science/artificial-intelligence/9528/bayesian-analysis-of-internet-access-through-apps-as-an-e-government-development-strategy-in-mexico/rafael-rentería-gaeta-

Authors and Affiliations