Hashing Encoding

Hashing Encoding is a categorical encoding technique that maps high-cardinality categorical variables into a lower-dimensional space of fixed size through a hash function, thereby reducing memory usage and mitigating issues associated with traditional encoding methods in the presence of sparse or evolving categorical data.

80

Publications

5.5K

Citations

276

Authors

126

Institutions

Publications per year

2017–2026

42

Authors

276

  1. JW
    Jianmin Wang

    Tsinghua University, China

    3 publications · 906 citations

    3

    h-index

  2. ML
    Mingsheng Long

    Tsinghua University, China

    3 publications · 906 citations

    3

    h-index

  3. YL
    Youngwoon Lee

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 495 citations

    2

    h-index

  4. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    2 publications · 784 citations

    2

    h-index

  5. DM
    Dalton Meitei Thounaojam

    National Institute Of Technology Silchar, India

    2 publications · 47 citations

    2

    h-index

1–5 of 276

Venues

  1. Multimedia Tools and Applications

    6 publications · 231 citations

    6

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  2. Pattern Recognition

    4 publications · 123 citations

    4

    h-index

  3. Expert Systems with Applications

    4 publications · 110 citations

    4

    h-index

  4. Neurocomputing

    3 publications · 138 citations

    3

    h-index

  5. IEEE Access

    2 publications · 37 citations

    2

    h-index

1–5