Encoding Of Categorical Variables

Encoding of Categorical Variables is a domain-specific feature engineering technique that transforms non-numeric categorical data into numerical representations while preserving semantic relationships and enabling their use in mathematical models.

104

Publications

10.6K

Citations

286

Authors

143

Institutions

Publications per year

2017–2026

56

Authors

286

  1. MC
    Ming Chen

    First Affiliated Hospital Zhejiang University, China

    2 publications · 87 citations

    2

    h-index

  2. SG
    Shixiang Gu

    Google (United States), United States

    2 publications · 3.5K citations

    2

    h-index

  3. EJ
    Eric Jang

    Google (United States), United States

    2 publications · 3.5K citations

    2

    h-index

  4. RL
    Ranran Lu

    University of Tulsa, United States

    2 publications · 50 citations

    2

    h-index

  5. JT
    Jiliang Tang

    Michigan State University, United States

    2 publications · 87 citations

    2

    h-index

1–5 of 286

Venues

  1. arXiv (Cornell University)

    Repository · 12 publications · 4.1K citations

    11

    h-index

  2. IEEE Access

    3 publications · 340 citations

    3

    h-index

  3. Computational Statistics & Data Analysis

    CSDA · 3 publications · 59 citations

    3

    h-index

  4. The Journal of Open Source Software

    JOSS · 2 publications · 74 citations

    2

    h-index

  5. The American Statistician

    2 publications · 83 citations

    2

    h-index

1–5