Survival Study on Prediction Methods for Efficient Educational Institution Performance Analysis

Educational Data Mining (EDM) developed the discipline for discovering the large amount of data from educational settings. EDM collected large amount of data from the educational field. Educational institutions store large amount of data to track students, faculty and courses. The data set comprises personal data and academic student data. To enhance the student lives and faculty as well as universities and organizations using EDM. Several researchers performed in research on educational institution performance prediction. But, the conventional methods were not able to forecast the accuracy and to minimize the amount of time consumed for performing the prediction. To overcome these issues, different educational performance. prediction methods are discussed.