Mining Association Rule in Classified Data for Course Recommender System in e-Learning
The ADTree (Alternating Decision Tree) is a supervised classification technique that combines decision trees with the predictive accuracy into a set of classification rules & association rule algorithms are used to show the relationship between data items. Here in this paper the authors combine these two algorithms & apply it to sample data obtained from Moodle courses of their College for the Course Recommender System which predicts the course selected by the students. First, they consider the result using only the association rule then they consider this combined approach. Here they present the advantage of applying the combined approach to Course Recommender System as compare to the result of applying only the association rule algorithm.