Predicting Students Performance Using J48 Decision Tree

Abstract

Data is necessary in any industry which can be processed for getting useful information. Previously the data mining techniques are used in business to earn more profits and increase the business. In academic and educational field, Data Mining is a leading tool for predicting performance of students. Performance of student in university courses plays an important role to the higher education institutions. A society develops the quality of their citizens on the bases of education. There are many techniques available in data mining such as classification, clustering, association, etc., which are useful in extracting the hidden knowledge and useful information. Here, we used classification technique. In this paper, Educational Data Mining is used to predict students performance based on their marks in an examination. For these we have used WEKA tool. After pre-processed the data, we applied the J48 decision tree algorithm to discover classification rules.