Combination of Clustering, Classification and Association Rule Based Approach for Course Recommender System in e-Learning
Data mining also known as Knowledge Discovery in Database is the process of discovering new pattern from large data set. E-learning is the electronically learning & teaching process. Course Recommender System allows one to study the behavior of student regarding the courses. In Course Recommender System in E-learning, the authors collect the data regarding the student enrollments for a specific set of data i.e. the courses which the students like to learn. After collection of data, they apply three data mining techniques namely clustering, classification & association rule to find the best combination of courses. Here they compare the result of this combined approach with result obtained using only association rule & present how this combined approach is better than only the association rule algorithm.