Constraint-based Sequence Mining
Constraint-Based Sequence Mining is a methodological framework within sequence mining that incorporates user-defined constraints to guide the discovery of sequential patterns, distinguishing itself by pruning the search space through syntactic, semantic, or domain-specific conditions imposed on the patterns of interest.
38
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1.9K
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99
Authors
66
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2017–2026
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Sequence mining in categorical domains
Mohammed J. Zaki · 2000 · 250 citations · Full text
Mining Minimal Distinguishing Subsequence Patterns with Gap Constraints
Xiaonan Ji, James Bailey, Guozhu Dong · 2006 · 147 citations
The constrained longest common subsequence problem
Yin-Te Tsai · Information Processing Letters · 2003 · 139 citations
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KU Leuven
Leuven, Belgium
3 h-index
5 publications
112 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
8 publications
124 citations

Silesian University of Technology
Gliwice, Poland
2 h-index
2 publications
35 citations
Wright State University
Dayton, United States
2 h-index
2 publications
242 citations
Laboratoire d'Informatique en Images et Systèmes d'Information
Villeurbanne, France
2 h-index
4 publications
74 citations
Ho Chi Minh City University of Technology
Ho Chi Minh City, Vietnam
2 h-index
3 publications
111 citations
GREYC
Caen, France
2 h-index
6 publications
120 citations
Vellore Institute of Technology University
Vellore, India
2 h-index
4 publications
118 citations
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2 publications · 42 citations
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2 publications · 176 citations
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2 publications · 140 citations
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Repository · 2 publications · 29 citations
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