Sh. Asadi
Data Mining Laboratory, Department of Engineering, College of Farabi, University of Tehran, Tehran, Iran.
[ 1 ] - Developing a Course Recommender by Combining Clustering and Fuzzy Association Rules
Each semester, students go through the process of selecting appropriate courses. It is difficult to find information about each course and ultimately make decisions. The objective of this paper is to design a course recommender model which takes student characteristics into account to recommend appropriate courses. The model uses clustering to identify students with similar interests and skills...
نویسندگان همکار