| Temporal fuzzy utility mining is an interesting topic in datamining research. Using a single threshold to measure all items cannot satisfy real-life applications since not all items are considered with the same importance. In this paper, we propose a multiple-threshold approach, which considers the temporal behavior, the different item significance and fuzzy presentation to mine high temporal fuzzy utility itemsets. The maximum constraint is adopted to aggregate the different thresholds of items in an itemset. |