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Erschienen in:
2006 | OriginalPaper | Buchkapitel
COBRA: Closed Sequential Pattern Mining Using Bi-phase Reduction Approach
verfasst von : Kuo-Yu Huang, Chia-Hui Chang, Jiun-Hung Tung, Cheng-Tao Ho
Erschienen in: Data Warehousing and Knowledge Discovery
Verlag: Springer Berlin Heidelberg
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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 closed itemsets. Hence, unnecessary item extensions which generates non-closed sequential patterns can be avoided. Experimental evaluation shows that the proposed approach is two orders of magnitude faster than previous works with a modest memory cost.