Educational institutions are important parts of our society and playing a vital role for growth and development of nation and prediction of student’s performance in educational environments is also important as well. Student’s academic performance is based upon various factors like personal, social, psychological etc. Educational data mining concerns with developing methods for discovering knowledge from data, that comes from educational domain. This paper addresses the applications of data mining in educational institution to extract useful information from available data set and providing analytical tool to view. The result of study is aimed to develop a faith on data mining techniques so that present education system may adopt this as a strategic management tool. This study explores multiple factors theoretically assumed to affect students’ performance in higher education, and finds a qualitative model which best classifies and predicts the students’ performance based on related personal and social factors. In this paper are shown different algorithms that are used to reduce the dimensionality of data and to development of a data mining model for predictions of performances of students, on the basis of their personal demographic and societal feature.
Volume 10 | 11-Special Issue
Pages: 756-766