Bayesian analysis of internet access through apps as an e-government development strategy in Mexico

Guillermo Alfonso de la Torre-Gea; Rafael Rentería Gaeta

Title:
Bayesian analysis of internet access through apps as an e-government development strategy in Mexico

Authors:
Rafael Rentería Gaeta | Guillermo Alfonso de la Torre-Gea
DOI:
https://doi.org/10.31142/ijtsrd9528

Cite This Article :

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, pp.1070-1074, URL: https://www.ijtsrd.com/papers/ijtsrd9528.pdf

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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.

Keywords :
AI, mobile government, Digital Divided, Models.

Publication Details:

Unique Identification Number : IJTSRD9528

Published In : Volume-2 | Issue-2, February 2018

Page Number(s) : 1070-1074

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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