Data Sketches

Data Sketches is a computational abstraction that belongs to the class of data summarization techniques, distinguished by its use of compact, probabilistic data structures to enable efficient approximation of large-scale datasets under strict memory and time constraints.

56

Publications

3.7K

Citations

132

Authors

70

Institutions

Publications per year

2017–2026

21

Variants

Sketching

Authors

132

  1. GC
    Graham Cormode

    AT&T (United States), United States

    7 publications · 923 citations

    7

    h-index

  2. DP
    David P. Woodruff

    IBM Research - Almaden, United States

    5 publications · 225 citations

    5

    h-index

  3. HD
    Hal Daumé

    University of Maryland, College Park, United States

    4 publications · 140 citations

    4

    h-index

  4. AG
    Amit Goyal

    Swiss Finance Institute, Switzerland

    4 publications · 140 citations

    4

    h-index

  5. TY
    Tong Yang

    Peking University, China

    3 publications · 206 citations

    3

    h-index

1–5 of 132

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 4 publications · 422 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 50 citations

    3

    h-index

  3. The Annals of Statistics

    1 publications · 148 citations

    1

    h-index

  4. ACM SIGMETRICS Performance Evaluation Review

    PER · 1 publications · 11 citations

    1

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 12 citations

    1

    h-index

1–5