Now-a-days the amount of data stored in educational database increasing rapidly. These
databases contain hidden information for improvement of students' performance …

Educational data mining is used to study the data available in the educational field and bring
out the hidden knowledge from it. Classification methods like decision trees, rule mining …

The main objective of higher education institutions is to provide quality education to its
students. One way to achieve highest level of quality in higher education system is by …

The presented work is a student marks and grade prediction system using supervised
machine learning techniques, the system is developed on the historic performance of …

Knowledge Discovery and Data Mining (KDD) is a multidisciplinary area focusing upon
methodologies for extracting useful knowledge from data and there are several useful KDD …

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 …

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 …

At the present time, the amount of data stored in educational database is increasing swiftly.
These databases contain hidden information for improvement of student's performance …

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' …