Speed up the execution efficiency of finding fuzzy frequent itemsets

This paper proposes an efficient fuzzy mining approach, namely GDF, to speed up the execution efficiency of finding fuzzy frequent itemsets in a quantitative database. Unlike the existing approaches, the proposed GDF adopts the data-reduction strategy to effectively reduce the number of unpromising candidate fuzzy itemsets for mining. The experimental results on a synthetic dataset reveal that the proposed GDF approach could outperform the traditional fuzzy mining algorithm.