Student Performance Prediction Using Algorithms of Data Mining

Abstract

Data mining is mainly used to get information from a large amount of data. Process it to convert this information into understanding form predictions. Data minings algorithms have immense importance and chore in predictions. The data mining methods can uncover the unseen patterns (unsupervised), associations, and oddity from collected data. This information can enhance the decision-making processes for predictions. Data mining can be considered as a most suitable technology for predictions especially in predictions of students performance. The primary aim of this paper is to give a precise review on Applications of algorithms of data mining for prediction of students performance. In this paper, we presented a methodology in which we applied pre-processing on data to select best attributes in order to increase its accuracy then we applied different Algorithms to measure its accuracy and found out that Random Forest algorithm gives best results.