Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …

Many search strategies have been exploited for the task of feature selection (FS), in an effort
to identify more compact and better quality subsets. Such work typically involves the use of …

Data mining is the use of algorithms to extract the information and patterns derived by the
knowledge discovery in databases process. Classification is a very common data mining …

Over the years, several statistical tools have been used to analyze students' performance
from different points of view. This paper presents data mining in education environment that …

Web-based instruction (WBI) programs, which have been increasingly developed in
educational settings, are used by diverse learners. Therefore, individual differences are key …

This paper presents a proposal for the extraction of association rules called G3PARM
(Grammar-Guided Genetic Programming for Association Rule Mining) that makes the …

Instructors have limited time and resources to help struggling students, and these resources
should be directed to the students who most need them. To address this, researchers have …

Data mining is the use of algorithms to extract the information and patterns derived by the
knowledge discovery in databases process. Classification maps data into predefined groups …

Abstract Evolutionary Algorithms (EAs) are population-based, stochastic search algorithms
that mimic natural evolution. Over the years, EAs have been successfully applied to many …

Data mining is an information extraction process that aims to discover valuable knowledge
in databases. Existing genetic algorithms (GAs) designed for rule induction evaluates the …