Abstract
In this paper, we propose an efficient mining approach which adopts an indexing mechanism to speed up the execution efficiency and reduce the memory requirement in the utility mining process. Besides, a pruning strategy is designed to reduce the number of unpromising itemsets for mining. The experimental results also show the performance of the proposed approach is better than that of traditional two-phase utility mining algorithm under different parameters.