Duplicate File Detection

Duplicate File Detection is a computational process that identifies redundant copies of files within a dataset by comparing their content or metadata to distinguish exact or near-identical instances for the purpose of data deduplication.

36

Publications

3.2K

Citations

111

Authors

44

Institutions

Publications per year

2017–2026

6

Authors

111

  1. HG
    Héctor García-Molina

    Stanford University, United States

    3 publications · 606 citations

    3

    h-index

  2. JD
    James Davis

    Rensselaer Polytechnic Institute, United States

    2 publications · 575 citations

    2

    h-index

  3. RH
    Rob Hall

    Carnegie Mellon University, United States

    2 publications · 44 citations

    2

    h-index

  4. SE
    Stephen E. Fienberg

    Carnegie Mellon University, United States

    2 publications · 44 citations

    2

    h-index

  5. FB
    Frank Breitinger

    University of New Haven, United States

    2 publications · 89 citations

    2

    h-index

1–5 of 111

Venues

  1. Digital Investigation

    5 publications · 616 citations

    5

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 44 citations

    2

    h-index

  3. Multimedia Tools and Applications

    1 publications · 31 citations

    1

    h-index

  4. EJNMMI Radiopharmacy and Chemistry

    1 publications · 47 citations

    1

    h-index

  5. Proceedings of the IEEE

    1 publications · 308 citations

    1

    h-index

1–5