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政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 > Item 140.119/61586

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/61586

Title:	Efficient Frequent Sequence Mining by a Dynamic Strategy Switching Algorithm
Authors:	陳良弼 Chiu, Ding-Ying;Wu,Yi-Hung;Chen,Arbee L. P.
Contributors:	資科系
Keywords:	Data mining;Frequent sequence;Sequence comparison;Strategy switching
Date:	2009.01
Issue Date:	2013-11-11 16:28:38 (UTC+8)
Abstract:	Mining frequent sequences in large databases has been an important research topic. The main challenge of mining frequent sequences is the high processing cost due to the large amount of data. In this paper, we propose a novel strategy to find all the frequent sequences without having to compute the support counts of non-frequent sequences. The previous works prune candidate sequences based on the frequent sequences with shorter lengths, while our strategy prunes candidate sequences according to the non-frequent sequences with the same lengths. As a result, our strategy can cooperate with the previous works to achieve a better performance. We then identify three major strategies used in the previous works and combine them with our strategy into an efficient algorithm. The novelty of our algorithm lies in its ability to dynamically switch from a previous strategy to our new strategy in the mining process for a better performance. Experiment results show that our algorithm outperforms the previous ones under various parameter settings.
Relation:	VLDB Journal, 18(1) , 303-327
Data Type:	article
DOI 連結:	http://dx.doi.org/10.1007/s00778-008-0100-7
DOI:	10.1007/s00778-008-0100-7
Appears in Collections:	[資訊科學系] 期刊論文

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