Interestingness Measure and Its Application in Learning Guidance System Based on Association Rules
兴趣度在基于关联分析的选课指导系统中的研究与应用

Data mining technologies is introduced briefly.By analyzing the application of classic Apriori algorithm in Learning Guidance System(LGS),Apriori algorithm's limitation that not suit for LGS is found out,and then Apriori alorithm by introducing interestingness measure threshold to it is improved.Experiment results proved that the improved algorithm can decrease the amount of useless rules and improve the performance of the LGS,and can provide effective assistant method for student class sellection.