期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：2
页码：1864-1866
出版社：TechScience Publications
摘要：Sequential pattern mining algorithms developed so far provide better performance for short sequences but are inefficient at mining long sequences, since long sequences generate a large number of frequent subsequences. To efficiently mine long sequences, closed sequential pattern mining algorithms have been developed. These algorithms mine closed sequential patterns which don’t have any super sequences with the same support. Closed sequential patterns are more compact comparing to the patterns produced by the sequential pattern mining algorithms. In this paper, we propose a framework for mining closed sequential patterns by integrating the best features of SPAM and CHARM. Our algorithm is the first method that utilizes vertical bitmap data structure for closed sequential pattern mining
