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

Authors

688

  1. GN
    Gonzalo Navarro

    University of Chile, Chile

    14 publications · 1.3K citations

    13

    h-index

  2. IO
    Idoia Ochoa

    Stanford University, United States

    7 publications · 156 citations

    7

    h-index

  3. TW
    Tsachy Weissman

    Stanford University, United States

    7 publications · 189 citations

    7

    h-index

  4. AJ
    Armando J. Pinho

    University of Aveiro, Portugal

    7 publications · 393 citations

    7

    h-index

  5. DP
    Diogo Pratas

    University of Aveiro, Portugal

    6 publications · 376 citations

    6

    h-index

1–5 of 688

Venues

  1. Bioinformatics

    31 publications · 2K citations

    24

    h-index

  2. IEEE Transactions on Information Theory

    21 publications · 2.3K citations

    16

    h-index

  3. 10

    h-index

  4. BMC Bioinformatics

    9 publications · 294 citations

    9

    h-index

  5. Journal of Computational Biology

    6 publications · 484 citations

    6

    h-index

1–5