CRISP-DM is the de-facto standard and an industry-independent process model for applying
data mining projects. Twenty years after its release in 2000, we would like to provide a …

The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …

Predicting students' performance is one of the most important issues in educational data
mining (EDM), which has received more and more attention. By predicting students' …

Recientemente, el uso de técnicas de minería de datos educativa ha cobrado gran
relevancia al aplicarlas en la predicción del desempeño, creación de modelos predictivos …

A university usually has many Lecturers that have an important role in improving the quality
of Higher Education. The Lecturers should produce scientific publications at least 1 …

Recently, the use of educational data mining techniques has gained great relevance when
applied to performance prediction, creation of predictive retention models, behaviour profiles …

The main objective of this work is to make a systematic review of the literature on the
prediction of the academic performance of university students by applying data mining …

En este trabajo se presenta un análisis de las características más relevantes de un
potencial desertor universitario, mediante la aplicación de algoritmos de minería de datos …

This study was aimed to increase the performance of the Predicting Student Academic
Performance (PSAP) system, and the outcome is to develop a web application that can be …

The problem of university dropout is a recurring issue in universities that affects students,
especially in the first year of studies. The situation is aggravated by the COVID-19 pandemic …