Concepedia

Data Cleaning Visualization

Data Cleaning Visualization is a methodological framework within data quality visualization that specifically enables the interactive identification, diagnosis, and correction of data inaccuracies and inconsistencies through visual representations.

4

Publications

108

Citations

10

Authors

4

Institutions

Publications per year

2017–2026

4

Parents

Publications

4

1–4 of 4

Authors

10

  1. NT
    Nan Tang

    Tsinghua University, China

    1 publications · 19 citations

    1

    h-index

  2. XQ
    Xuedi Qin

    Tsinghua University, China

    1 publications · 19 citations

    1

    h-index

  3. CP
    Christine P. Chai

    Microsoft (United States), United States

    1 publications · 33 citations

    1

    h-index

  4. VK
    Virender Kumar

    Lovely Professional University, India

    1 publications · 38 citations

    1

    h-index

  5. CK
    Cherry Khosla

    Lovely Professional University, India

    1 publications · 38 citations

    1

    h-index

1–5 of 10

Institutions

4

  1. University of Kentucky

    Lexington, United States

    1 h-index

    1 publications

    18 citations

  2. University of Wisconsin–Madison

    Madison, United States

    1 h-index

    1 publications

    18 citations

  3. Lovely Professional University

    Phagwāra, India

    1 h-index

    2 publications

    76 citations

  4. Tsinghua University

    Beijing, China

    1 h-index

    4 publications

    76 citations

1–4 of 4

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 19 citations

    1

    h-index

  2. CHANCE

    1 publications · 33 citations

    1

    h-index

  3. 1

    h-index

1–3