Hybrid Data Classification

Hybrid Data Classification is a data classification method that integrates both automated computational techniques and manual human oversight to improve accuracy and contextual relevance in categorizing data.

93

Publications

3.4K

Citations

292

Authors

146

Institutions

Publications per year

2017–2026

50

Authors

292

  1. JL
    Jiye Liang

    Shanxi University, China

    3 publications · 121 citations

    3

    h-index

  2. PW
    P. William

    Savitribai Phule Pune University, India

    2 publications · 102 citations

    2

    h-index

  3. YQ
    Yuhua Qian

    Shanxi University, China

    2 publications · 83 citations

    2

    h-index

  4. UV
    U. V. Kulkarni

    Sanskriti Samvardhan Mandal, India

    2 publications · 34 citations

    2

    h-index

  5. WW
    Wei Wei

    Tsinghua University, China

    2 publications · 83 citations

    2

    h-index

1–5 of 292

Venues

  1. Neurocomputing

    4 publications · 118 citations

    4

    h-index

  2. Neural Computing and Applications

    3 publications · 141 citations

    3

    h-index

  3. Fuzzy Sets and Systems

    2 publications · 88 citations

    2

    h-index

  4. IOP Conference Series Materials Science and Engineering

    Conference · 2 publications · 34 citations

    2

    h-index

  5. Multimedia Tools and Applications

    2 publications · 142 citations

    2

    h-index

1–5