The tremendous growth of educational institutions' electronic data provides the opportunity
to extract information that can be used to predict students' overall success, predict students' …

There is a perpetual elevation in demand for higher education in the last decade all over the
world; therefore, the need for improving the education system is imminent. Educational data …

In this study, the academic performance of students from the E-Commerce department at
Palestine Technical University–Kadoorie is predicted using a Markov chains model and …

Effective candidates screening is critical for any IT firm as it impacts the future growth and
productivity of that firm. Currently majority of these firms follow a manual approach of hiring …

Objectives: Data mining techniques are implemented in many organizations as a standard
procedure for analyzing the large volume of available data, extracting useful information and …

Many higher-education institutions have endeavored to understand students' characteristics
in order to improve the quality of education. To this end, demographic information and …

Factors of students' dropout can be studied either by surveys among students or by
analyzing data the university collects. In the work reported in this paper, we analyzed data …

Nowadays, both predictive and descriptive modelling play a key role in decision-making
processes in almost every branch of activity. In this article we are introducing, a generic …

This paper analyses the problem of predicting students' academic performance, a subject
that is increasingly investigated within the Educational Data Mining literature. For a better …

One of the biggest challenges that higher learning institutions face today is to improve the
placement performance of students. The placement prediction is more complex when the …