There has been a lot of interest in education on the prediction of students' academic
performance. The enormous increase in educational data offers the chance to gather data …

Predicting students performance becomes more challenging due to the large volume of data
in educational databases. Currently in Malaysia, the lack of existing system to analyze and …

Recently, educational institutions faced many challenges. One of these challenges is the
huge amount of educational data that can be used to discover new insights that have a …

Educational Data Mining is a discipline focused on developing ways for studying the unique
and increasingly large-scale data generated by educational settings and applying those …

Educational Data mining (EDM) is a new active research area. It focuses on applying data
mining methods to the educational dataset to discover useful information. One of the most …

Abstract In recent days, a wide variety of tools have appeared for performing educational
data mining (EDM). The current education systems show that there are several factors …

The universities and institutes produce a large amount of student data that can be used in a
disciplinary way and useful information can be extracted by using an automated approach …

Student academic performance prediction has become a hot research topic, and is still a
research trend in the field of educational data mining (EDM). The application of data mining …

Predicting the students' performance has become a challenging task due to the increasing
amount of data in educational systems. In keeping with this, identifying the factors affecting …

Machine learning is emerging nowadays as an important tool for decision support in many
areas of research. In the field of education, both educational organizations and students are …