Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …

Predicting students performance becomes more challenging due to the large volume of data
in educational databases. Currently in Malaysia, the lack of existing system to analyze and …

Student success is important in colleges and universities since it is often used as a measure
of the institution's effectiveness. Identifying at-risk students early on and implementing …

The main objective of this study is to apply data mining techniques to predict and analyze
students' academic performance based on their academic record and forum participation …

Abstract Information is everywhere in a hidden and scattered way. It becomes useful when
we apply Data mining to extracts the hidden, meaningful, and potentially useful patterns from …

The tremendous growth of educational institutions' electronic data provides the opportunity
to extract information that can be used to predict students' overall success, predict students' …

One of the most challenging tasks in the education sector in India is to predict student's
academic performance due to a huge volume of student data. In the Indian context, we don't …

Data Mining provides powerful techniques for various fields including education. The
research in the educational field is rapidly increasing due to the massive amount of students' …

It is important to study and analyse educational data especially students' performance.
Educational Data Mining (EDM) is the field of study concerned with mining educational data …

Accompanied with the development of storage and processing capacity of modern
technology, educational data increases sharply. It is difficult for educational researchers to …