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Sequence classification has an extensive of applications range such as analysis of the genome, retrieval of information, information about fitness, economics, and abnormal detection. Thus, it creates sequence classification, a more interesting task while the current methods only emphasis of frequency on the concept but not over the time. There exist many more algorithms for upholding sequential patterns. The older datasets are removed and other datasets get updated. Hence, it is clear thatfatcat:fithdevelvafjfhxlinflacomi