Bibliographic citations
Vergara, R., (2018). Evaluación del impacto social en proyectos de inversión pública de la región cusco a través de Datamining [Tesis, Universidad Andina del Cusco]. https://hdl.handle.net/20.500.12557/1730
Vergara, R., Evaluación del impacto social en proyectos de inversión pública de la región cusco a través de Datamining [Tesis]. : Universidad Andina del Cusco; 2018. https://hdl.handle.net/20.500.12557/1730
@misc{sunedu/3041601,
title = "Evaluación del impacto social en proyectos de inversión pública de la región cusco a través de Datamining",
author = "Vergara Pareja, Ronald René",
publisher = "Universidad Andina del Cusco",
year = "2018"
}
All public investment projects requested and executed in the interior of the country undergo an evaluation of the social impact that the project will have, but in some situations, this evaluation is not carried out adequately to the regulations, causing problems at the moment of execution. All public investment projects must be registered in the database of the Ministry of Economy and Finance (MEF), which has all the appropriate information for the analysis of the social impact that will lead to the execution of the project. All the information handled by the Peruvian state serves as the primary information for the creation of prediction model within this evaluation process. For this reason, this information will allow an analysis of the current situation of how these types of projects are evaluated once obtained the pertinent data, it is sought to define what parameters are indicated for the analysis of social impact. These indicators will allow obtaining the current situation in which the analysis of the social impact in the interior of Peru is managed. According to the result delivered by the analysis can be allowed to perform tests for the creation of a predictive model. For the creation of this model, an evaluation was done to determine which algorithm to provide a better classification of the information and also to be applied within a web application that is accessible by any user dedicated to that category.
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