Campus placement is a measure of students' performance in a course. A forecasting method
is proposed in this paper to predict possible campus placement of any institution. Data …

Graduate employability is an increasingly major concern for academic institutions and
assessing student employability provides a way of linking student skills and employer …

We usually suffer from difficulties in treating or managing Big Data generated from various
digital media and/or sensors using traditional mining techniques. Additionally, there are …

Predicting university admission is a complex decision making process that is more than
merely relying on test scores. It is known by researchers that students' backgrounds and …

We develop novel methods of incremental learning based on the bagging and boosting
approaches to ensemble learning. Our method combines perceptron decision trees …

Support vector machine (SVM) is an algorithm based on structure risk minimizing principle
and has high generalization ability, but sometimes we prefer to incremental learning …

For an aspiring graduate student, shortlisting the universities to apply to is a difficult problem.
Since an application is extremely dynamic, students often tend to wonder if their profile …

Student academic failure prediction is still interesting topics in the Educational Data Mining.
One of the challenges is how to predict student academic failure as early as possible. This …

Graduating on time is one element of higher education accreditation assessment. In the
Strata 1 level, students are declared to graduate on time if they can complete their studies< …

The aim of this study is to compares some classification techniques used to predict the
performance of student. It is helps to analyse the slow leaner in the semester exams that are …