Outlier Explanation

Outlier Explanation is an academic concept referring to a principled methodological contribution that identifies and characterizes the underlying reasons or conditions responsible for anomalous observations within a dataset, distinguishing it from general detection techniques by providing interpretable justifications for outlier status.

21

Publications

1K

Citations

69

Authors

29

Institutions

Publications per year

2017–2026

11

Authors

69

  1. DS
    DongHwa Shin

    Seoul National University, South Korea

    2 publications · 74 citations

    2

    h-index

  2. XH
    Xia Hu

    Texas A&M University, United States

    2 publications · 74 citations

    2

    h-index

  3. NL
    Ninghao Liu

    Texas A&M University, United States

    2 publications · 74 citations

    2

    h-index

  4. JG
    J.J. Garcia‐Luna‐Aceves

    University of California, Santa Cruz, United States

    1 publications · 11 citations

    1

    h-index

  5. DM
    Denis M. Tebit

    Case Western Reserve University, United States

    1 publications · 18 citations

    1

    h-index

1–5 of 69

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 241 citations

    1

    h-index

  2. PubMed

    Repository · 1 publications · 18 citations

    1

    h-index

  3. International Journal of Constitutional Law

    1 publications · 27 citations

    1

    h-index

  4. BMC Medical Research Methodology

    1 publications · 193 citations

    1

    h-index

  5. The VLDB Journal

    1 publications · 60 citations

    1

    h-index

1–5