Data Encoding

Data Encoding is a data transformation technique that systematically converts categorical or unstructured data into numerical or binary representations to enable computational processing and analysis within machine learning and data preprocessing pipelines.

234

Publications

12.9K

Citations

794

Authors

353

Institutions

Publications per year

2017–2026

99

Authors

794

  1. NC
    Nemai Chandra Karmakar

    Monash University, Australia

    5 publications · 216 citations

    5

    h-index

  2. HT
    Hannu Tenhunen

    KTH Royal Institute of Technology, Sweden

    4 publications · 71 citations

    4

    h-index

  3. YA
    Yasar Amin

    University of Engineering and Technology Taxila, Pakistan

    4 publications · 71 citations

    4

    h-index

  4. MP
    Maurizio Palesi

    University of Catania, Italy

    3 publications · 135 citations

    3

    h-index

  5. SP
    Stevan Preradovic

    Monash University, Australia

    3 publications · 172 citations

    3

    h-index

1–5 of 794

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 230 citations

    6

    h-index

  2. IEEE Access

    6 publications · 139 citations

    6

    h-index

  3. IEEE Transactions on Image Processing

    4 publications · 137 citations

    4

    h-index

  4. Journal of Lightwave Technology

    3 publications · 115 citations

    3

    h-index

  5. Advanced Functional Materials

    3 publications · 622 citations

    3

    h-index

1–5