Concepedia

Outlier Capping

Outlier Capping is a data preprocessing technique that belongs to the class of outlier treatment methods, distinguished by its approach of replacing extreme values with predetermined threshold values at the upper and lower ends of the data distribution.

1

Publications

18

Citations

5

Authors

1

Institutions

Publications per year

2017–2026

1

Parents

Publications

1

1–1 of 1

Authors

5

  1. RW
    Rong Wang

    Northwestern Polytechnical University, China

    1 publications · 18 citations

    1

    h-index

  2. XL
    Xuelong Li

    Northwestern Polytechnical University, China

    1 publications · 18 citations

    1

    h-index

  3. ZW
    Zheng Wang

    Northwestern Polytechnical University, China

    1 publications · 18 citations

    1

    h-index

  4. FN
    Feiping Nie

    Northwestern Polytechnical University, China

    1 publications · 18 citations

    1

    h-index

  5. CZ
    Canyu Zhang

    Northwestern Polytechnical University, China

    1 publications · 18 citations

    1

    h-index

1–5 of 5

Institutions

1

  1. Northwestern Polytechnical University

    Xi'an, China

    1 h-index

    5 publications

    90 citations

1–1 of 1

Venues

  1. IEEE Signal Processing Letters

    1 publications · 18 citations

    1

    h-index

1–1