The main goal of educational data mining is to improve the student performance. The usage of data miningtechniques which achieves the goal in an efficient manner. The discovery of knowledge that extract from the endsemester [1] is one of the method for improving the quality of higher education. In the higher education, the analysison enrolment of student’s performance in a particular course, the student talent, confidence, studies and ethic helps toget more knowledge. In this research, the data classification and decision tree [1] which helps to improve the student’sperformance in a better way. But with the inclusion of extracurricular activities with the above data miningtechniques makes quality of education in an easiest way. This type of approach gives high confidence to students intheir studies. This method helps to identify the students who need special advising or counseling by the teacher whichgives high quality of education.
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