Statistical Data Reduction

Statistical Data Reduction is a methodological process that belongs to the broader class of data aggregation techniques, distinguished by its specific aim of simplifying large datasets into more compact representations while preserving essential statistical properties for analysis.

252

Publications

23.5K

Citations

733

Authors

330

Institutions

Publications per year

2017–2026

66

Authors

733

  1. DC
    Degang Chen

    North China Electric Power University, China

    5 publications · 357 citations

    5

    h-index

  2. AS
    A. S. C. Ehrenberg

    Maudsley Hospital, United Kingdom

    4 publications · 74 citations

    4

    h-index

  3. QH
    Qinghua Hu

    Tianjin University, China

    3 publications · 441 citations

    3

    h-index

  4. MT
    M. Teresa Anguera

    Universitat de Barcelona, Spain

    3 publications · 122 citations

    3

    h-index

  5. YY
    Yiyu Yao

    University of Regina, Canada

    3 publications · 724 citations

    3

    h-index

1–5 of 733

Venues

  1. Information Sciences

    10 publications · 1.4K citations

    10

    h-index

  2. Technometrics

    8 publications · 1.5K citations

    8

    h-index

  3. International Journal of Approximate Reasoning

    5 publications · 462 citations

    5

    h-index

  4. Neurocomputing

    4 publications · 125 citations

    4

    h-index

  5. Knowledge-Based Systems

    4 publications · 302 citations

    4

    h-index

1–5