Combination of Clustering, Classification & Association Rule based Approach for Course Recommender System in E-learning

Abstract

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 us to study the behavior of student regarding the courses. In Course Recommender System in E-learning, we 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, we apply three data mining techniques namely clustering, classification & association rule to find the best combination of courses. Here we 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.