Application of improved association rule algorithm in the courses management
Hua Wang, Ping Liu, Hongyang Li · 2014
Apriori is a classical association rule algorithm, On the basis of analyzing the Apriori algorithm and some improved algorithms, Using Matlab tool implements an efficient algorithm, the improved algorithm largely reduces the size of candidate sets and improves the mining efficiency. Finally, the improved algorithm is applied in the university curriculum management, which uses students' academic records as data source to mining the hidden curriculum related rules. And other relevant metrics such as lift, all confidence and cosine are introduced to verify the correlation of association rules. These will be significance to provide the significance information for teaching management.