Streaming Sequence Mining
Streaming Sequence Mining is a sequence mining paradigm distinguished by its processing of temporally ordered data sequences in single-pass, bounded-memory fashion under the constraint of continuous and potentially unbounded input streams.
18
Publications
554
Citations
59
Authors
27
Institutions
Publications per year
2017–2026
2
Parents
18
1–5 of 18
59
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1–5 of 59
27
Orange (France)
Paris, France
2 h-index
5 publications
136 citations

Queensland University of Technology
Brisbane, Australia
1 h-index
3 publications
168 citations
Yonsei University
Seoul, South Korea
1 h-index
2 publications
66 citations
Google (United States)
Mountain View, United States
1 h-index
3 publications
36 citations
Northeastern University
Boston, United States
1 h-index
3 publications
384 citations
NTT (Japan)
Tokyo, Japan
1 h-index
2 publications
94 citations
University of California, Riverside
Riverside, United States
1 h-index
2 publications
124 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
1 h-index
2 publications
52 citations
1–8 of 27
Repository · 1 publications · 13 citations
1
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PVLDB · 1 publications · 62 citations
1
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1 publications · 12 citations
1
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1 publications · 11 citations
1
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1 publications · 56 citations
1
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