Outlier Flagging

Outlier Flagging is a methodological procedure in data preprocessing that identifies and marks individual data points as potential outliers based on their deviation from the expected pattern or distribution of the dataset.

45

Publications

2.2K

Citations

177

Authors

86

Institutions

Publications per year

2017–2026

14

Authors

177

  1. BH
    Bettina Horn

    Humboldt-Universität zu Berlin, Germany

    1 publications · 29 citations

    1

    h-index

  2. JA
    Jeffrey A. Hooke

    Windber Research Institute, United States

    1 publications · 19 citations

    1

    h-index

  3. FS
    Frederic S. Resnic

    Brigham and Women's Hospital, United States

    1 publications · 60 citations

    1

    h-index

  4. TH
    Thomas H. Badewien

    Carl von Ossietzky Universität Oldenburg, Germany

    1 publications · 11 citations

    1

    h-index

  5. GA
    Gerry A. Parsons

    University of Calgary, Canada

    1 publications · 102 citations

    1

    h-index

1–5 of 177

Venues

  1. PubMed

    Repository · 2 publications · 119 citations

    2

    h-index

  2. BMC Bioinformatics

    2 publications · 132 citations

    2

    h-index

  3. Journal of Clinical Epidemiology

    2 publications · 114 citations

    2

    h-index

  4. Food Control

    1 publications · 29 citations

    1

    h-index

  5. Future Generation Computer Systems

    FGCS · 1 publications · 14 citations

    1

    h-index

1–5