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    政大機構典藏 > 理學院 > 資訊科學系 > 會議論文 >  Item 140.119/111987
    Please use this identifier to cite or link to this item: http://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 連結: http://dx.doi.org/10.1007/978-3-319-07776-5_15
    DOI: 10.1007/978-3-319-07776-5_15
    Appears in Collections:[資訊科學系] 會議論文

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