动态数据库中预大型FUSP树的维护

2011 Second International Conference on Innovations in Bio-inspired Computing and Applications Pub Date : 2011-12-16 DOI:10.1109/IBICA.2011.54

Chun-Wei Lin, T. Hong, Hong-Yu Lee, Shyue-Liang Wang

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引用次数: 1

摘要

在过去，人们提出了预大型快速更新序列模式树(pre-large fast-update sequence pattern tree, pre-large FUSP tree)，分别用于高效地挖掘大序列的记录插入和删除。在本文中，我们提出了一种维护方法，用于在数据库数据被修改时有效地维护预大的FUSP树并有效地获得所需的大序列。实验结果表明，该算法在执行时间上具有较好的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Maintenance of Pre-large FUSP Trees in Dynamic Databases

In the past, pre-large fast-updated sequential pattern trees (pre-large FUSP tree) were proposed for efficiently mining large sequences for record insertion and deletion, respectively. In this paper, we thus proposed a maintenance approach for efficiently maintaining pre-large FUSP trees and effectively deriving desired large sequences when data in databases are modified. Experimental results also show that the proposed algorithm has a better performance in execution time.

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2011 Second International Conference on Innovations in Bio-inspired Computing and Applications

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