FUZZY ASSOCIATION RULE MINING FOR STUDENT PERFORMANCE EVALUATION

Association rule mining in a student performance data is an important research area. This provide support unity to deal with the uncertainty of data. The fuzzy association rule mining can be an important method in student's academic data due to it's the completeness and able to handle the uncertainty. In this work, a fuzzy association rule mining is used for student's academic data. Our experiment shows that fuzzy association rule mining in student's academic data a give better performance as non-fuzzy association rule mining. It performs in less time and generate less frequent set compare as existing algorithm.