Apply of Sum of Difference Method to Predict Placement of Students’ Using Educational Data Mining

The purpose of higher education organizations is to offer superior education to its students. The proficiency to forecast student’s achievement is valuable in affiliated ways associated with organization education system. Students’ scores which they got in exam, can be used to invent training set for dominate learning algorithms. With the academia attributes of students such as internal marks, lab marks, age etc. it can be easily predict their performance. After getting predicted results, improvement in the performance of the student to engage with desirable assistance to the students has to be processed. Educational Data Mining (EDM) offers such information to educational organization from educational data. EDM provides various methods for prediction of student’s performance, which improve the future results of students. In this paper, by using their attributes such as academic records, age, and achievement etc., EDM is used for predicting the performance about placement of final year students. As a result, higher education organizations will offer superior education to its students.