Sequential Pattern Discovery
Sequential Pattern Discovery is a data mining technique that identifies statistically significant patterns of ordered events or items within sequential datasets, distinguishing itself from other pattern discovery methods by its focus on the temporal or sequential relationships among elements.
332
Publications
16.1K
Citations
727
Authors
363
Institutions
Publications per year
2017–2026
79
Parents
332
Sequential PAttern mining using a bitmap representation
Jay Ayres, Jason Flannick, Johannes Gehrke et al. · 2002 · 1.1K citations
Jiawei Han, Jian Pei, Behzad Mortazavi-Asl et al. · 2000 · 807 citations
1–5 of 332
727
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Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier, France
8 publications · 236 citations
8
h-index
1–5 of 727
363

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
12 h-index
33 publications
1.3K citations
University of Illinois Urbana-Champaign
Urbana, United States
11 h-index
24 publications
2.6K citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
33 publications
791 citations

National University of Kaohsiung
Kaohsiung City, Taiwan
10 h-index
14 publications
508 citations

Harbin Institute of Technology
Harbin, China
9 h-index
17 publications
560 citations
National Cheng Kung University
Tainan City, Taiwan
9 h-index
17 publications
1.1K citations

National Sun Yat-sen University
Kaohsiung City, Taiwan
9 h-index
10 publications
421 citations

Hebei University of Technology
Tianjin, China
8 h-index
32 publications
972 citations
1–8 of 363
13 publications · 651 citations
12
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TKDE · 11 publications · 708 citations
11
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12 publications · 356 citations
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9 publications · 545 citations
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9 publications · 233 citations
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