Ham Nguyen1, Tuong Le2,3,*
CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3571-3583, 2022, DOI:10.32604/cmc.2022.024765
Abstract The task of mining erasable patterns (EPs) is a data mining problem that can help factory managers come up with the best product plans for the future. This problem has been studied by many scientists in recent times, and many approaches for mining EPs have been proposed. Erasable closed patterns (ECPs) are an abbreviated representation of EPs and can be considered condensed representations of EPs without information loss. Current methods of mining ECPs identify huge numbers of such patterns, whereas intelligent systems only need a small number. A ranking process therefore needs to be applied prior to use, which causes… More >
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