A prediction model based on data mining to forecast the expectations of passing from a college student

The present work has as objective to apply data mining techniques to develop a predictive model to forecast the chance of passing that will have a college student at the time of enrolling in a particular subject. Given that the academic record of the student can be known, and based on that information, we propose an Artificial Neural Network (ANN) that allows, using various configurations, to predict and assess our goal. The model has been applied to a compulsory subject of higher education of a University and given the results obtained. This model can be applied to any other subject analogous with satisfactory results

A prediction model based on data mining to forecast the expectations of passing from a college student

The present work has as objective to apply data mining techniques to develop a predictive model to forecast the chance of passing that will have a college student at the time of enrolling in a particular subject. Given that the academic record of the student can be known, and based on that information, we propose an Artificial Neural Network (ANN) that allows, using various configurations, to predict and assess our goal. The model has been applied to a compulsory subject of higher education of a University and given the results obtained. This model can be applied to any other subject analogous with satisfactory results

A study of fuzzy data bases: an application to a Peruvian case

This paper aims to show the various types of data that contain in an intrinsically way fuzzy or imperfect data that are presented in the real world. A form of implementation is described that allows extending the capabilities of a database by using layers levels, emphasizing in the concept of inheritance. What is described is illustrated by an example applied to the Peruvian reality, which is shown with a certain level of detail