International Journal of Computer Applications
Sequential pattern mining is a significant data-mining method for determining time-related behavior in sequence databases. The information achieved from sequential pattern mining can be used in marketing, medical records, sales analysis, and so on. Existing methods only focus on the concept of frequency because of the assumption that sequences' behaviors do not change over time. Several efficient algorithms for maintaining sequential patterns have been developed. Old datasets are deleted while some other datasets are updated.