Feature Binning

Feature Binning is a domain-specific feature engineering technique that discretizes continuous or categorical input variables into discrete intervals or bins to enhance model interpretability and performance by capturing non-linear relationships.

17

Publications

32.2K

Citations

63

Authors

39

Institutions

Publications per year

2017–2026

5

Authors

63

  1. JR
    John R. Wallace

    Millersville University, United States

    2 publications · 25 citations

    2

    h-index

  2. YW
    Yunhe Wang

    The University of Sydney, Australia

    2 publications · 42 citations

    2

    h-index

  3. CX
    Chang Xu

    The University of Sydney, Australia

    2 publications · 42 citations

    2

    h-index

  4. YX
    Yixing Xu

    Texas A&M University, United States

    2 publications · 42 citations

    2

    h-index

  5. EW
    Enhua Wu

    University of Macau, Macao SAR China

    2 publications · 42 citations

    2

    h-index

1–5 of 63

Venues

  1. BioData Mining

    1 publications · 13 citations

    1

    h-index

  2. Bioinformatics

    1 publications · 12 citations

    1

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 19 citations

    1

    h-index

  4. IEEE Access

    1 publications · 25 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 19 citations

    1

    h-index

1–5