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This paper presents a new Apriori based\udapproach for mining periodic frequent patterns from the\udtemporal database. The proposed approach utilizes the\udconcept of rough set theory for obtaining reduced\udrepresentation of the initially considered temporal\uddatabase. In order to consider only the relevant items for\udanalyzing seasonal effects, a decision attribute festival\udhas been considered. It has been observed that the\udproposed approach works fine for the analysis of the\udseasonal impact on buying behavior of customers.\udConsidering the capability of approach for the analysis of\udseasonal profitability concern, decision making, and\udfuture marketing may use it for the important decisionmaking\udprocess for the uplifting of sel

On the Use of Rough Set Theory for Mining Periodic Frequent Patterns