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Sequential pattern mining algorithms produce an exponential number of sequential patterns when mining long patterns or at low support thresholds. Most of the existing algorithms mine the full set of sequential patterns. However, it is sufficient to mine closed sequential patterns from which the total set of sequential patterns can be derived and the closed sequential patterns set is more compact than the sequential patterns set. In this paper, we propose a novel algorithm NCSP for mining closeddoi:10.5121/ijdkp.2015.5104 fatcat:3yclmhve2jgnfijctfelq7jv6q