Incremental Multilevel Association Rule Mining of a Dynamic Database Under a Change of a Minimum Support Threshold

Abstract

The proposed algorithm can efficiently deal with multilevel association rules mining of a dynamic database and a current support threshold can be different from the previous task. The experimental results show that the proposed algorithm has better performance than ML-T2 algorithm.