Predicting student performance by using data mining methods for classification

227Citations
Citations of this article
567Readers
Mendeley users who have this article in their library.

Abstract

Data mining methods are often implemented at advanced universities today for analyzing available data and extracting information and knowledge to support decision-making. This paper presents the initial results from a data mining research project implemented at a Bulgarian university, aimed at revealing the high potential of data mining applications for university management.

Cite

CITATION STYLE

APA

Kabakchieva, D. (2013). Predicting student performance by using data mining methods for classification. Cybernetics and Information Technologies, 13(1), 61–72. https://doi.org/10.2478/cait-2013-0006

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free