Interactive Data Quality Analysis

Interactive Data Quality Analysis is a data quality assessment method that enables users to dynamically explore, visualize, and evaluate data quality through real-time feedback and iterative refinement in a visual analytics environment.

4

Publications

252

Citations

16

Authors

12

Institutions

Publications per year

2017–2026

2

Authors

16

  1. RD
    Rodolphe Devillers

    Memorial University of Newfoundland, Canada

    1 publications · 138 citations

    1

    h-index

  2. YX
    Ye Xi

    Cardiff University, United Kingdom

    1 publications · 69 citations

    1

    h-index

  3. SK
    Simone Kriglstein

    University of Vienna, Austria

    1 publications · 28 citations

    1

    h-index

  4. JM
    Joseph M. Hellerstein

    University of California, Berkeley, United States

    1 publications · 17 citations

    1

    h-index

  5. YC
    Yang Chen

    Tsinghua University, China

    1 publications · 69 citations

    1

    h-index

1–5 of 16

Venues

  1. Journal of Data and Information Quality

    JDIQ · 1 publications · 28 citations

    1

    h-index

  2. 1

    h-index

  3. Bioinformatics

    1 publications · 14 citations

  4. BMC Medical Informatics and Decision Making

    1 publications · 11 citations

1–4