Presently, educational institutions compile and store huge volumes of data, such as student
enrolment and attendance records, as well as their examination results. Mining such data …

Educational data mining (EDM) is an emerging interdisciplinary research area that deals
with the development of methods to explore data originating in an educational context. EDM …

Educational data mining has received considerable attention in the last few years. Many
data mining techniques are proposed to extract the hidden knowledge from educational …

Currently there is an increasing interest in data mining and educational systems, making
educational data mining as a new growing research community. This paper surveys the …

Educational data mining is an emerging discipline, concerned with develo** methods for
exploring the unique types of data that come from the educational context. This work is a …

This paper shows how web usage mining can be applied in e‐learning systems in order to
predict the marks that university students will obtain in the final exam of a course. We have …

Knowledge Discovery and Data Mining (KDD) is a multidisciplinary area focusing upon
methodologies for extracting useful knowledge from data and there are several useful KDD …

Learning Analytics (LA) is an emerging field in which sophisticated analytic tools are used to
improve learning and education. It draws from, and is closely tied to, a series of other fields …

Fifty years ago there were just a handful of universities across the globe that could provide
for specialized educational courses. Today Universities are generating not only graduates …

Data pre-processing is the first step in any data mining process, being one of the most
important but less studied tasks in educational data mining research. Pre-processing allows …