To forecast learner using mining classification to evaluate tertiary education

Abstract

One of the most classification methods is data mining which mines the information when it is required from the remote client. This paper uses different data mining methods which are used for predicting the performance of the students in their modern education system. This surely helps the student performance in both academic and non-academic criteria. Hence, modern educational development authority board requires these recent methodologies to analyze the performance as well as the behavior of each student in school or universities. This survey illustrates various conventional methods for analyzing and predicting the student's performance using various data mining techniques.