ABSTRACT
The main goal of educational data mining is to improve the student performance. The usage of data mining
techniques which achieves the goal in an efficient manner. The discovery of knowledge that extract from the end
semester [1] is one of the method for improving the quality of higher education. In the higher education, the analysis
on enrolment of student’s performance in a particular course, the student talent, confidence, studies and ethic helps to
get more knowledge. In this research, the data classification and decision tree [1] which helps to improve the student’s
performance in a better way. But with the inclusion of extracurricular activities with the above data mining
techniques makes quality of education in an easiest way. This type of approach gives high confidence to students in
their studies. This method helps to identify the students who need special advising or counseling by the teacher which
gives high quality of education.
Keywords: - Classification, Educational Data Mining (EDM), ID3 Algorithm, Knowledge Discovery in Database (KDD)