Data Preparation Strategy in e-Learning System Using Association Rule Algorithm

Data preparation is the important step in Course Recommendation System which aims at predicting the course selected by student. In this paper, the authors present the data preparation strategy for Course Recommendation System. Here, they have used the real data of courses offered through Moodle package of the college & apply the data preparation strategy to it to find out the best combination of courses. They are using the open source data mining tool Weka to check the result.