Manual Data Classification

Manual Data Classification is a data classification method in which individuals manually assign data to predefined categories based on content, context, and organizational policies, distinguishing it from automated or system-driven classification approaches through its reliance on human judgment and explicit decision-making.

136

Publications

5K

Citations

558

Authors

233

Institutions

Publications per year

2017–2026

74

Authors

558

  1. IC
    Iago Correa

    Universidade Federal do Rio Grande, Brazil

    2 publications · 79 citations

    2

    h-index

  2. PD
    Paulo Drews

    Universidade Federal do Rio Grande, Brazil

    2 publications · 79 citations

    2

    h-index

  3. MF
    Mitchell Fennell

    University of British Columbia, Canada

    2 publications · 96 citations

    2

    h-index

  4. RC
    Robert Chellapermal

    Nanjing University, China

    2 publications · 102 citations

    2

    h-index

  5. MK
    Markku Kulmala

    University of Helsinki, Finland

    2 publications · 102 citations

    2

    h-index

1–5 of 558

Venues

  1. PLoS ONE

    3 publications · 96 citations

    3

    h-index

  2. Applied Sciences

    3 publications · 66 citations

    3

    h-index

  3. PLoS Computational Biology

    2 publications · 72 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 70 citations

    2

    h-index

  5. 2

    h-index

1–5