Duplicate Record Removal

Duplicate Record Removal is a data cleaning technique that identifies and eliminates redundant entries within a dataset by distinguishing exact or near-identical replications of the same observational or experimental yield record, thereby preserving data integrity and preventing biased or inflated analytical outcomes.

30

Publications

2K

Citations

99

Authors

45

Institutions

Publications per year

2017–2026

4

Authors

99

  1. PC
    Peter Christen

    Australian National University, Australia

    2 publications · 714 citations

    2

    h-index

  2. KA
    Kofi Adu-ManuSarpong

    Valley View University, Ghana

    1 publications · 12 citations

    1

    h-index

  3. LC
    Letizia Caso

    University of Bergamo, Italy

    1 publications · 29 citations

    1

    h-index

  4. DM
    David Menestrina

    Stanford University, United States

    1 publications · 40 citations

    1

    h-index

  5. DM
    David Melero-Fuentes

    Universitat de València, Spain

    1 publications · 150 citations

    1

    h-index

1–5 of 99

Venues

  1. 2

    h-index

  2. Emerging infectious diseases

    EID · 1 publications · 12 citations

    1

    h-index

  3. Berkeley Workshop

    Conference · 1 publications · 43 citations

    1

    h-index

  4. Systematic Reviews

    1 publications · 89 citations

    1

    h-index

  5. International Journal of Data Warehousing and Mining

    IJDWM · 1 publications · 24 citations

    1

    h-index

1–5