Naive Bayes

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

7.2K

Publications

459K

Citations

22.1K

Authors

4.7K

Institutions

Publications per year

2017–2026

4.5K

Authors

22.1K

  1. LJ
    Liangxiao Jiang

    China University of Geosciences, China

    30 publications · 2.6K citations

    23

    h-index

  2. BT
    Binh Thai Pham

    University Of Transport Technology, Vietnam

    16 publications · 2K citations

    16

    h-index

  3. GI
    Geoffrey I. Webb

    Monash University, Australia

    15 publications · 2.1K citations

    15

    h-index

  4. TM
    Taghi M. Khoshgoftaar

    Florida Atlantic University, United States

    16 publications · 712 citations

    15

    h-index

  5. ZC
    Zhihua Cai

    China University of Geosciences, China

    15 publications · 1.3K citations

    15

    h-index

1–5 of 22.1K

Venues

  1. IEEE Access

    148 publications · 12.3K citations

    57

    h-index

  2. Procedia Computer Science

    110 publications · 8.9K citations

    50

    h-index

  3. Sensors

    67 publications · 4K citations

    32

    h-index

  4. PLoS ONE

    56 publications · 3.4K citations

    32

    h-index

  5. International Journal of Computer Applications

    72 publications · 3.1K citations

    30

    h-index

1–5