The challenging task in educational institutions is to maximize the high performance of
students and minimize the failure rate of poor-performing students. An effective method to …

Student performance has an important role to measure student quality. Student quality can
be measured through predictions of student performance. Prediction can be done using data …

Educational Data Mining is a new discipline, focusing on studying the methods and creating
models to utilize educational data, using those methods to better understand students and …

Data mining applications are feasible tools for tackling different business applications such
as financial, healthcare, telecommunication and e-learning, and so on. Most of the literature …

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--------------The main goal of educational data mining is to improve the student performance …

The rapid increase in student population has resulted in expansion of educational facilities
at all level. Nowadays, responsibilities of teachers are many. It is the responsibilities of …

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------------------Over the past decade there has been a rapid growth in higher education …

This research work has investigated the potential applicability of data mining technology to
predict student success and failure cases on University students' datasets. CRISP-DM …

Abstract Educational Data Mining (EDM) as a new technology has become a field of
research as a result of continuous improvement in numerous approaches in statistics …

Data mining has been widely used in education purposes and classification was the
common data mining technique used. The main purpose of this study were to classify …