Identifying association rules of specific later-marketed products
Not all products are marketed at the same time. Using traditional approaches for identifying the sale associations between earlier-marketed products and later-marketed product is difficult. We propose a new algorithm for identifying association rules of specific later-marketed products by precisely calculating the support values of association rules, which consist of earlier-marketed products and later-marketed product. A new measure (TransRate) was designed to prevent generating useless itemsets. We applied three data sets to evaluate the performance of the proposed SLMCM algorithm.
association rule later-marketed product sale association data mining marketed time