Customer Data Deduplication

Customer Data Deduplication is a data management technique that identifies and removes redundant or duplicate customer records within a database to ensure data accuracy, consistency, and integrity by systematically comparing and merging equivalent entries based on matching attributes.

2

Publications

76

Citations

9

Authors

7

Institutions

Publications per year

2017–2026

1

Variants

Customer Data De-duplication

Authors

9

  1. OA
    Otmane Azeroual

    German Centre for Higher Education Research and Science Studies, Germany

    1 publications · 22 citations

    1

    h-index

  2. KS
    Kewei Sha

    University of Houston - Clear Lake, United States

    1 publications · 22 citations

    1

    h-index

  3. WL
    Waraporn Leesakul

    University of Leeds, United Kingdom

    1 publications · 54 citations

    1

    h-index

  4. SJ
    Sanjay Jha

    UNSW Sydney, Australia

    1 publications · 22 citations

    1

    h-index

  5. JX
    Jie Xu

    University of Leeds, United Kingdom

    1 publications · 54 citations

    1

    h-index

1–5 of 9

Venues

  1. Multimodal Technologies and Interaction

    1 publications · 22 citations

    1

    h-index

  2. Information Systems

    1 publications · 10 citations

1–2