政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/111987

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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/111987

Title:	An incremental algorithm for maintaining the built FUSP trees based on the pre-large concepts
Authors:	左瑞麟 Lin, Chun-Wei
Contributors:	資訊科學系
Keywords:	Pre-large concept;dynamic databases;sequential pattern mining;sequence insertion;FUSP-tree structure
Date:	2014
Issue Date:	2017-08-16 17:04:05 (UTC+8)
Abstract:	Mining useful information or knowledge from a very large database to aid managers or decision makers to make appropriate decisions is a critical issue in recent years. In this paper, we adopted the pre-large concepts to the FUSP-tree structure for sequence insertion. A FUSP tree is built in advance to keep the large 1-sequences for later maintenance. The pre-large sequences are also kept to reduce the movement from large to small and vice versa. When the number of inserted sequences is smaller than the safety bound of the pre-large concepts, better results can be obtained by the proposed incremental algorithm for sequence insertion in dynamic databases. © Springer International Publishing Switzerland 2014.
Relation:	Advances in Intelligent Systems and Computing, 297, 135-144 1st Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2014; Shenzhen; China; 13 June 2014 到 15 June 2014; 代碼 116829
Data Type:	conference
DOI link:	http://dx.doi.org/10.1007/978-3-319-07776-5_15
DOI:	10.1007/978-3-319-07776-5_15
Appears in Collections:	[Department of Computer Science ] Proceedings

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