COBRA: Closed sequential pattern mining using Bi-phase reduction approach

Kuo Yu Huang, Chia Hui Chang, Jiun Hung Tung, Cheng Tao Ho

研究成果: 書貢獻/報告類型會議論文篇章同行評審

13 引文 斯高帕斯(Scopus)

摘要

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.

原文???core.languages.en_GB???
主出版物標題Data Warehousing and Knowledge Discovery - 8th International Conference, DaWaK 2006, Proceedings
發行者Springer Verlag
頁面280-291
頁數12
ISBN(列印)3540377360, 9783540377368
DOIs
出版狀態已出版 - 2006
事件8th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2006 - Krakow, Poland
持續時間: 4 9月 20068 9月 2006

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4081 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

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???event.eventtypes.event.conference???8th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2006
國家/地區Poland
城市Krakow
期間4/09/068/09/06

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