Rare Sequence Mining
Rare Sequence Mining is a sequence mining paradigm that identifies infrequent or low-support sequential patterns in a dataset, distinguishing itself from conventional sequence mining by focusing on rare occurrences that may signify exceptional or anomalous behaviors rather than prevalent trends.
10
Publications
537
Citations
49
Authors
14
Institutions
Publications per year
2017–2026
4
Parents
10
Jean‐Michel Claverie, Philippe Kourilsky, Pierre Langlade‐Demoyen et al. · European Journal of Immunology · 1988 · 72 citations
Nehru Viji Sankaranarayanan, Tamara R. Strebel, Rio S. Boothello et al. · Angewandte Chemie International Edition · 2017 · 60 citations · Full text
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King Faisal Specialist Hospital & Research Centre, Saudi Arabia
1 publications · 174 citations
1
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Massachusetts General Hospital, United States
1 publications · 174 citations
1
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14
University of California, Riverside
Riverside, United States
1 h-index
2 publications
124 citations
Charité - Universitätsmedizin Berlin
Berlin, Germany
1 h-index
2 publications
106 citations
Massachusetts General Hospital
Boston, United States
1 h-index
10 publications
1.7K citations
University Hospital of Lausanne
Lausanne, Switzerland
1 h-index
2 publications
348 citations
Shanghai University of Political Science and Law
Shanghai, China
1 h-index
2 publications
36 citations
Institute of Software
Beijing, China
1 h-index
3 publications
45 citations
Institut Pasteur
Paris, France
1 h-index
8 publications
576 citations
Virginia Commonwealth University
Richmond, United States
1 h-index
5 publications
300 citations
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PVLDB · 1 publications · 62 citations
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EJI · 1 publications · 72 citations
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1 publications · 43 citations
1
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1 publications · 60 citations
1
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JCEM · 1 publications · 174 citations
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