Update Anomalies

Update Anomalies is a data integrity issue arising in poorly normalized relational databases where the redundancy of data leads to inconsistencies during update operations due to the necessity of modifying multiple tuples to maintain correctness.

13

Publications

737

Citations

21

Authors

12

Institutions

Publications per year

2017–2026

0

Variants

Update Anomaly

Authors

21

  1. LL
    Leonid Libkin

    University of Edinburgh, United Kingdom

    3 publications · 418 citations

    3

    h-index

  2. MA
    Marcelo Arenas

    Pontificia Universidad Católica de Chile, Chile

    3 publications · 418 citations

    3

    h-index

  3. MD
    Moussa Demba

    Jouf University, Saudi Arabia

    1 publications · 25 citations

    1

    h-index

  4. DJ
    Daniel J. Abadi

    Yale University, United States

    1 publications · 54 citations

    1

    h-index

  5. SL
    Sebastian Link

    University of Auckland, New Zealand

    1 publications · 10 citations

    1

    h-index

1–5 of 21

Venues

  1. 1

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 93 citations

    1

    h-index

  3. ACM Transactions on Database Systems

    TODS · 1 publications · 285 citations

    1

    h-index

  4. Information Processing Letters

    1 publications · 13 citations

    1

    h-index

  5. ACM SIGMOD Record

    1 publications · 14 citations

    1

    h-index

1–5