A fast algorithm for mining sequential patterns from large databases
Chen, N; Chen, A; Zhou, LX; Liu, L
发表期刊JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
关键词Data Mining Knowledge Discovery Sequential Pattern Set Operation
摘要Mining sequential patterns from large databases has been recognized by many researchers as an attractive task of data mining and knowledge discovery. Previous algorithms scan the databases for many times, which is often unendurable due to the very large amount of databases. In this paper, the authors introduce an effective algorithm for mining sequential patterns from large databases. In the algorithm, the original database is not used at all for counting the support of sequences after the first pass. Rather, a tidlist; structure generated in the previous pass is employed for the purpose based on set intersection operations, avoiding the multiple scans of the databases.
2001
卷号16期号:4页码:12,359-370
ISSN1000-9000
学科领域Computer Science ; Software Engineering ; Hardware & Architecture ; Computer Science
收录类别SCI
语种英语
WOS记录号WOS:000170049900006
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被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.casisd.cn/handle/190111/5351
专题中国科学院科技政策与管理科学研究所(1985年6月-2015年12月)
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Chen, N,Chen, A,Zhou, LX,et al. A fast algorithm for mining sequential patterns from large databases[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2001,16(4):12,359-370.
APA Chen, N,Chen, A,Zhou, LX,&Liu, L.(2001).A fast algorithm for mining sequential patterns from large databases.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,16(4),12,359-370.
MLA Chen, N,et al."A fast algorithm for mining sequential patterns from large databases".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 16.4(2001):12,359-370.
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