In this work, we study the problem of closed sequential pattern Mining. We propose a novel approach which extends a frequent sequence with closed itemsets instead of single items. The motivation is that closed sequential patterns are composed of only clos
關聯:
DATA WAREHOUSING AND KNOWLEDGE DISCOVERY, PROCEEDINGS
