Sequence Mining
Sequence Mining is a data mining technique that discovers frequent sequential patterns or ordered relationships among data items over time within a database, distinguishing it from other pattern mining methods by its focus on temporal or ordered occurrences.
1.6K
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Authors
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Publications per year
2017–2026
370
Variants
Sequential Pattern Mining
Parents
1.6K
SPADE: An Efficient Algorithm for Mining Frequent Sequences
Mohammed J. Zaki · Machine Learning · 2001 · 1.8K citations · Full text
PrefixSpan,: mining sequential patterns efficiently by prefix-projected pattern growth
Jian Pei, Jiawei Han, Behzad Mortazavi-Asl et al. · 2005 · 1.8K citations
Fast subsequence matching in time-series databases
Christos Faloutsos, M. Ranganathan, Yannis Manolopoulos · 1994 · 1.7K citations · Full text
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Harbin Institute of Technology
Harbin, China
25 h-index
73 publications
3.5K citations
University of Illinois Urbana-Champaign
Urbana, United States
24 h-index
72 publications
14.4K citations
University of California, Riverside
Riverside, United States
22 h-index
62 publications
14.9K citations
University of Technology Sydney
Sydney, Australia
18 h-index
54 publications
2.8K citations
National Cheng Kung University
Tainan City, Taiwan
18 h-index
49 publications
3.1K citations
IBM (United States)
Armonk, United States
18 h-index
57 publications
3.5K citations
Simon Fraser University
Burnaby, Canada
17 h-index
41 publications
15.2K citations
Tsinghua University
Beijing, China
16 h-index
68 publications
3.2K citations
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TKDE · 50 publications · 7.4K citations
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31 publications · 1.2K citations
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28 publications · 1.5K citations
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31 publications · 1.8K citations
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25 publications · 849 citations
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