In processing huge transaction data analysis, when we use Sequential Patterns Mining techniques to discover the buying behaviors of customers, we just can only get the order of the items purchased, but we are hard to find out the time intervals of related items purchased.So that we can not know the period of the product, lead to analysts can not give the most advantageous marketing in the most appropriate time. The aim of the this research is to develop a methodology to detect of the existence of repeat-buying behavior and discover the potential period of repeat-buying behavior. Using this model can facilitate the analysts to understand the product consumption characteristics more accurate, and let the analysts to determine the most advantageous marketing strategy in the best time, then the corresponding actions can be taken to maximize enterprise’s revenue.