Incremental Database Updates

Incremental Database Updates is a database curation methodology that involves the systematic addition, modification, or removal of records in a reference database in discrete, successive batches or stages, as opposed to full reinitialization, thereby maintaining data continuity and minimizing computational overhead during periodic content integration.

177

Publications

12K

Citations

450

Authors

194

Institutions

Publications per year

2017–2026

20

Authors

450

  1. RH
    Richard Hull

    University of Southern California, United States

    5 publications · 294 citations

    5

    h-index

  2. EA
    Elke A. Rundensteiner

    Worcester Polytechnic Institute, United States

    3 publications · 66 citations

    3

    h-index

  3. SA
    Serge Abiteboul

    Institut national de recherche en sciences et technologies du numérique, France

    3 publications · 264 citations

    3

    h-index

  4. HG
    Héctor García-Molina

    Stanford University, United States

    3 publications · 94 citations

    3

    h-index

  5. CK
    Christoph Koch

    Cornell University, United States

    3 publications · 220 citations

    3

    h-index

1–5 of 450

Venues

  1. ACM SIGMOD Record

    8 publications · 823 citations

    8

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 8 publications · 372 citations

    8

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 4 publications · 248 citations

    4

    h-index

  4. IEEE Access

    3 publications · 125 citations

    3

    h-index

  5. arXiv (Cornell University)

    Repository · 3 publications · 77 citations

    3

    h-index

1–5