Entity Deduplication

Entity Deduplication is the academic concept of identifying and merging multiple noisy or inconsistent representations of a real-world object within a dataset to ensure a single, accurate, and consistent record.

19

Publications

1.5K

Citations

53

Authors

30

Institutions

Publications per year

2017–2026

4

Authors

53

  1. HG
    Héctor García-Molina

    Stanford University, United States

    2 publications · 55 citations

    2

    h-index

  2. AB
    Anuradha Bhamidipaty

    IBM Research - India, India

    2 publications · 729 citations

    2

    h-index

  3. WM
    Wagner Meira

    Universidade Federal de Minas Gerais, Brazil

    2 publications · 31 citations

    2

    h-index

  4. AS
    Altigran Soares da Silva

    Universidade Federal do Amazonas, Brazil

    2 publications · 31 citations

    2

    h-index

  5. SS
    Sunita Sarawagi

    Indian Institute of Technology Bombay, India

    2 publications · 729 citations

    2

    h-index

1–5 of 53

Venues

  1. Journal of Data and Information Quality

    JDIQ · 2 publications · 32 citations

    2

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. Multimodal Technologies and Interaction

    1 publications · 22 citations

    1

    h-index

  5. ACM SIGKDD Explorations Newsletter

    1 publications · 42 citations

    1

    h-index

1–5