The academic institutions are focusing more on improving the performance of students using
various data mining techniques. Prediction models are designed to predict the performance …

The first year of an engineering student was important to take proper academic planning. All
subjects in the first year were essential for an engineering basis. Student performance …

Automatic Student performance prediction is a crucial job due to the large volume of data in
educational databases. This job is being addressed by educational data mining (EDM) …

Measuring Student's performance is necessary for the mordent society. Applications of
Machine learning algorithms increased the growth in various fields like disease prediction …

Abstract Recently, Educational Data Mining (EDM), emerged as a new area of research due
to the enlargement of various statistical methods used to explore data in educational …

Purpose The purpose of this paper is to empirically investigate and compare the use of
multiple data sources, different classifiers and ensembles of classifiers technique in …

Purpose The purpose of this paper is to develop a prediction model to study the factors
affecting the academic performance of students pursuing an undergraduate professional …

Student performance prediction is a great area of concern for educational institutions to
prevent their students from failure by providing necessary support and counseling to …

The ensemble approach such as boosting is based on heuristic system to develop
prediction paradigms. The ensemble learning techniques are typically more accurate than …

Abstract Educational Data Mining is widely used for predicting student's performance. It'sa
challenging task because a plethora of features related to demographics, personality traits …