Naive Bayes Classification

Naive Bayes Classification is a probabilistic classification method that applies Bayes’ theorem with the assumption of conditional independence among predictors given the class label.

6.4K

Publications

403.1K

Citations

19.8K

Authors

4.4K

Institutions

Publications per year

2017–2026

3.9K

Authors

19.8K

  1. LJ
    Liangxiao Jiang

    China University of Geosciences, China

    29 publications · 2.5K citations

    22

    h-index

  2. ZC
    Zhihua Cai

    China University of Geosciences, China

    14 publications · 1.2K citations

    14

    h-index

  3. PL
    Pedro Larrañaga

    Universidad Politécnica de Madrid, Spain

    15 publications · 752 citations

    14

    h-index

  4. GI
    Geoffrey I. Webb

    Monash University, Australia

    13 publications · 1.4K citations

    13

    h-index

  5. TM
    Taghi M. Khoshgoftaar

    Florida Atlantic University, United States

    13 publications · 635 citations

    13

    h-index

1–5 of 19.8K

Venues

  1. IEEE Access

    116 publications · 8.6K citations

    49

    h-index

  2. Procedia Computer Science

    105 publications · 8.3K citations

    48

    h-index

  3. International Journal of Computer Applications

    69 publications · 3K citations

    30

    h-index

  4. PLoS ONE

    46 publications · 2.8K citations

    29

    h-index

  5. Scientific Reports

    37 publications · 2.6K citations

    28

    h-index

1–5