Subgroup discovery is a data mining technique which extracts interesting rules with respect
to a target variable. An important characteristic of this task is the combination of predictive …

Web usage mining is the process of extracting useful information from users history
databases associated to an e-commerce website. The extraction is usually performed by …

Subgroup discovery (SD) is a descriptive data mining technique using supervised learning.
In this article, we review the use of evolutionary algorithms (EAs) for SD. In particular, we will …

Identifying the factors that influence student academic performance is essential to provide
timely and effective support interventions. The data collected during enrolment and after …

This paper proposes a novel algorithm for subgroup discovery task based on genetic
programming and fuzzy logic called Fuzzy Genetic Programming-based for Subgroup …

Nowadays, there is an incredible increase of data volumes around the world, with the
Internet as one of the main actors in this scenario and a growth rate above 30GB/s. The …

Abstract Educational Data Mining (EDM) is a multidisciplinary field that covers the area of
analyzing educational data using data mining techniques. Since 2008 the first annual …

This paper suggests a novel data mining algorithm for the evaluation of e-learning courses
from a Learning Management System. This new algorithm, which is called S-Algo+ …

The transition from high school to university is a critical step and many students head toward
failure just because their final degree option was not the right choice. Both students' …

with the increased rates of the slow learners (SL) enrolled in schools nowadays; the schools
realized that the traditional academic curriculum is inadequate. Some schools have …