Aggregation Features

Aggregation Features is a feature engineering technique that belongs to the class of data transformation methods, distinguished by its computation of summary statistics or derived metrics from grouped data instances to represent higher-level patterns or relationships within a dataset.

52

Publications

2.8K

Citations

172

Authors

77

Institutions

Publications per year

2017–2026

22

Authors

172

  1. RR
    Ronald R. Yager

    Iona College, United States

    2 publications · 102 citations

    2

    h-index

  2. RJ
    Robert J. Reschly

    Towson University, United States

    2 publications · 20 citations

    2

    h-index

  3. JQ
    Jinqing Qi

    Dalian University of Technology, China

    2 publications · 163 citations

    2

    h-index

  4. DZ
    Difan Zhang

    Pacific Northwest National Laboratory, United States

    2 publications · 20 citations

    2

    h-index

  5. LG
    Linqiang Ge

    Towson University, United States

    2 publications · 20 citations

    2

    h-index

1–5 of 172

Venues

  1. Journal of Intelligent & Fuzzy Systems

    2 publications · 88 citations

    2

    h-index

  2. The Visual Computer

    1 publications · 21 citations

    1

    h-index

  3. International Journal of Forecasting

    1 publications · 20 citations

    1

    h-index

  4. Remote Sensing

    1 publications · 12 citations

    1

    h-index

  5. Pattern Recognition Letters

    1 publications · 25 citations

    1

    h-index

1–5