Closed Sequential Pattern Mining
Closed Sequential Pattern Mining is a sequential pattern mining task that identifies maximal sequences which are not strictly contained in any other sequence with the same support, thereby eliminating redundant patterns while preserving the complete frequent pattern information.
48
Publications
2.6K
Citations
129
Authors
67
Institutions
Publications per year
2017–2026
9
Parents
48
CloSpan: Mining: Closed Sequential Patterns in Large Datasets
Xifeng Yan, Jiawei Han, Ramin Afshar · 2003 · 485 citations
EFFICIENT IMPLEMENTATIONS OF APRIORI AND ECLAT
Christian Borgelt · 2003 · 384 citations
TSP: Mining top-k closed sequential patterns
P. Tzvetkov, Xifeng Yan, Jiawei Han · Knowledge and Information Systems · 2004 · 113 citations
TSP: mining top-K closed sequential patterns
P. Tzvetkov, Xifeng Yan, Ji Han · 2004 · 112 citations
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University of Illinois Urbana-Champaign
Urbana, United States
7 h-index
20 publications
1.5K citations

KTH Royal Institute of Technology
Stockholm, Sweden
2 h-index
3 publications
53 citations
National University of Singapore
Singapore, Singapore
2 h-index
4 publications
308 citations
Duy Tan University
Da Nang, Vietnam
2 h-index
2 publications
36 citations

Sejong University
Seoul, South Korea
2 h-index
3 publications
71 citations
Taif University
Ta'if, Saudi Arabia
2 h-index
4 publications
106 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
2 h-index
2 publications
118 citations
Tsinghua University
Beijing, China
2 h-index
5 publications
305 citations
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3 publications · 235 citations
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2 publications · 36 citations
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DKE · 2 publications · 89 citations
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2 publications · 148 citations
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Repository · 2 publications · 53 citations
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