Purpose The purpose of this paper is to present an empirical study on the effect of two
synthetic attributes to popular classification algorithms on data originating from student …

Abstract Graduate Attributes (GAs) in outcome-based education (OBE) are a major concern
of the stakeholders, especially students, which are to be assessed during their academics.​ …

Objectives: The most appropriate classifier selections for the particular data sets were
generally found harder. Therefore, in this study various existing classifiers have been …

As a matter of fact Data Mining is increasingly used as an emerging research domain in
educational fields as well for extracting useful and previously unknown patterns from …

Decision trees algorithms have been suggested in the past for classification of numeric as
well as categorical attributes. SLIQ algorithm was proposed (Mehta et al., 1996) as an …

The level of the student may change at the undergraduate level from his level in
intermediate or secondary school. Educational and personal factors may affect the …

Education is a vital component in the development of any country. In the education sector,
research has been rapidly increasing using data mining techniques. The increase of e …

At present data mining techniques become very popular among the data analyst. It became
an effective tool for finding the uncovered information from a big database. Due to this …

This study reviews the published studies that predict student performance or classify them
into performance groups relying on different types of education-related data coming from …