A REVIEW ON PERFORMANCE OF STUDENT’S PREDICTION USING DATA MINING TECHNIQUES

Computer Science and Engineering

The success of an academic institution can be measured in terms of the quality of education provides to its students. In the education system, the highest level of quality is achieved by exploring the data relating to redirection about students' performance. These days the lack of an existing system to analyze and judge the student's performance and progress is not being addressed. There are two reasons why this is often happening. First, the present system isn't accurate to predict student's performance. Second, because of shortage of consideration of some vital factors that are affecting student's performance. Predicting student's performance is a more challenging task as a result of a large amount of information in the academic database. This proposed system can help to predict student's performance more accurately. For these suitable data mining, approaches will be applied. In this approach, the pre-processing step will be applied to the raw data set so that the mining algorithm will be applied properly. The prediction about a student's performance can help him/her to enhance the performance.

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