Feature Encoding

Feature Encoding is a feature construction technique that transforms categorical or symbolic data into numerical representations through systematic mapping schemes, thereby enabling machine learning algorithms to process non-numeric attributes.

305

Publications

19.2K

Citations

1.2K

Authors

432

Institutions

Publications per year

2017–2026

219

Authors

1.2K

  1. YY
    Yimin Yang

    University of Windsor, Canada

    3 publications · 170 citations

    3

    h-index

  2. ZF
    Zunlei Feng

    Zhejiang University, China

    3 publications · 579 citations

    3

    h-index

  3. ZH
    Zhen Hua

    Shandong Institute of Business and Technology, China

    3 publications · 52 citations

    3

    h-index

  4. GY
    Guoyu Yang

    Zhejiang University of Technology, China

    3 publications · 579 citations

    3

    h-index

  5. JL
    Jie Lei

    Zhejiang University of Technology, China

    3 publications · 579 citations

    3

    h-index

1–5 of 1.2K

Venues

  1. arXiv (Cornell University)

    Repository · 13 publications · 492 citations

    12

    h-index

  2. IEEE Access

    8 publications · 556 citations

    8

    h-index

  3. 6

    h-index

  4. Sensors

    6 publications · 136 citations

    6

    h-index

  5. PLoS ONE

    6 publications · 309 citations

    6

    h-index

1–5