Chaid Algorithm

CHAID Algorithm is a decision tree algorithm that recursively partitions data by identifying optimal splits based on chi-squared tests of independence to distinguish categorical predictor variables significantly associated with the target variable.

144

Publications

10.1K

Citations

568

Authors

284

Institutions

Publications per year

2017–2026

64

Variants

Chi-squared Automatic Interaction Detector

Authors

568

  1. EE
    Ecevit Eyduran

    Iğdır Üniversitesi, Türkiye

    4 publications · 244 citations

    4

    h-index

  2. MP
    Miguel Pic

    Universidad de La Laguna, Spain

    3 publications · 81 citations

    3

    h-index

  3. MG
    Miguel‐Ángel Gómez

    Universidad Politécnica de Madrid, Spain

    2 publications · 96 citations

    2

    h-index

  4. GA
    Gökhan Aksu

    Adnan Menderes University, Türkiye

    2 publications · 74 citations

    2

    h-index

  5. JM
    Jay Magidson

    Clinical Innovations (United States), United States

    2 publications · 78 citations

    2

    h-index

1–5 of 568

Venues

  1. Journal of Direct Marketing

    JDM · 4 publications · 240 citations

    4

    h-index

  2. PubMed

    Repository · 3 publications · 63 citations

    3

    h-index

  3. British Journal of Cancer

    BJC · 3 publications · 102 citations

    3

    h-index

  4. DOAJ (DOAJ: Directory of Open Access Journals)

    Repository · 2 publications · 42 citations

    2

    h-index

  5. Pakistan Journal of Zoology

    2 publications · 82 citations

    2

    h-index

1–5