Data Editing

Data Editing is a methodological process in log quality control that systematically identifies, corrects, or removes inaccuracies, inconsistencies, or irrelevant entries within log data to ensure its reliability, completeness, and adherence to predefined quality standards.

66

Publications

5.2K

Citations

174

Authors

74

Institutions

Publications per year

2017–2026

5

Authors

174

  1. WE
    William E. Winkler

    Statistical Research (United States), United States

    4 publications · 69 citations

    4

    h-index

  2. NT
    Nan Tang

    Tsinghua University, China

    3 publications · 333 citations

    3

    h-index

  3. WY
    Wenyuan Yu

    University of Edinburgh, United Kingdom

    3 publications · 333 citations

    3

    h-index

  4. EL
    Erin Leahey

    University of Arizona, United States

    3 publications · 78 citations

    3

    h-index

  5. WF
    Wenfei Fan

    University of Edinburgh, United Kingdom

    3 publications · 333 citations

    3

    h-index

1–5 of 174

Venues

  1. 3

    h-index

  2. Journal of Official Statistics

    JOS · 4 publications · 75 citations

    3

    h-index

  3. Sociological Methods & Research

    SMR · 2 publications · 40 citations

    2

    h-index

  4. SSRN Electronic Journal

    Repository · 2 publications · 53 citations

    2

    h-index

  5. American Journal of Applied Sciences

    AJAS · 2 publications · 66 citations

    2

    h-index

1–5