Concepedia

Groupby Features

GroupBy Features is an academic concept in data analysis that denotes a computational operation grouping entities by shared attributes to enable aggregated summarization across distinct subsets.

1

Publications

132

Citations

4

Authors

3

Institutions

Publications per year

2017–2026

0

Parents

Publications

1

1–2 of 1

Authors

4

  1. TM
    Tova Milo

    Tel Aviv University, Israel

    1 publications · 132 citations

    1

    h-index

  2. SR
    Sudeepa Roy

    Duke University, United States

    1 publications · 132 citations

    1

    h-index

  3. SK
    Sanjeev Khanna

    University of Pennsylvania, United States

    1 publications · 132 citations

    1

    h-index

  4. SB
    Susan B. Davidson

    University of Pennsylvania, United States

    1 publications · 132 citations

    1

    h-index

  5. AH
    Andreas Hilboll

    University of Bremen, Germany

    1 publications · 14 citations

    0

    h-index

1–5 of 4

Institutions

3

  1. California University of Pennsylvania

    California, United States

    1 h-index

    2 publications

    264 citations

  2. Tel Aviv University

    Tel Aviv, Israel

    1 h-index

    1 publications

    132 citations

  3. University of Washington

    Seattle, United States

    1 h-index

    1 publications

    132 citations

  4. Princeton University

    Princeton, United States

    1 publications

    14 citations

  5. Universität Hamburg

    Hamburg, Germany

    1 publications

    14 citations

  6. Columbia University

    New York, United States

    1 publications

    14 citations

  7. Argonne National Laboratory

    Lemont, United States

    1 publications

    14 citations

  8. University of Bremen

    Bremen, Germany

    1 publications

    14 citations

1–8 of 3

Venues

  1. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 1 publications · 14 citations

1–1