Sequence Compression
Sequence Compression is a data reduction technique in sequence mining that belongs to the class of lossless transformation methods, distinguished by its specific focus on minimizing the representation size of sequential patterns while preserving their structural and temporal relationships for efficient storage and analysis.
316
Publications
18.1K
Citations
688
Authors
322
Institutions
Publications per year
2017–2026
53
316
Compressed representations of sequences and full-text indexes
Paolo Ferragina, Giovanni Manzini, Veli Mäkinen et al. · ACM Transactions on Algorithms · 2007 · 382 citations
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University of Chile
Santiago, Chile
12 h-index
18 publications
1.7K citations
Stanford University
Stanford, United States
11 h-index
35 publications
1K citations

University of Helsinki
Helsinki, Finland
9 h-index
13 publications
1.1K citations

The University of Melbourne
Melbourne, Australia
8 h-index
20 publications
973 citations

Silesian University of Technology
Gliwice, Poland
7 h-index
13 publications
1.2K citations
University of Aveiro
Aveiro, Portugal
7 h-index
22 publications
1.2K citations

University of Waikato
Hamilton, New Zealand
7 h-index
9 publications
1.1K citations
Technion – Israel Institute of Technology
Haifa, Israel
6 h-index
10 publications
1.2K citations
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31 publications · 2K citations
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21 publications · 2.3K citations
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11 publications · 357 citations
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9 publications · 294 citations
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