Interactive Data Reduction

Interactive Data Reduction is a methodological framework within interactive filtering that enables users to iteratively refine large datasets through real-time feedback loops, distinguishing itself by integrating human-in-the-loop decision-making to progressively eliminate irrelevant data items while preserving information pertinent to the user's evolving information needs.

18

Publications

724

Citations

107

Authors

43

Institutions

Publications per year

2017–2026

5

Authors

107

  1. SM
    Sylvain Malacria

    Université de Lille, France

    1 publications · 21 citations

    1

    h-index

  2. AW
    Aprilya Wulansari

    Muhammadiyah University of Surakarta, Indonesia

    1 publications · 20 citations

    1

    h-index

  3. IG
    I. Gavignaud

    Institut d'Astrophysique de Paris, France

    1 publications · 190 citations

    1

    h-index

  4. FL
    Federico Lugli

    University of Bologna, Italy

    1 publications · 17 citations

    1

    h-index

  5. MR
    Matteo Romandini

    University of Ferrara, Italy

    1 publications · 17 citations

    1

    h-index

1–5 of 107

Venues

  1. Publications of the Astronomical Society of the Pacific

    PASP · 3 publications · 330 citations

    3

    h-index

  2. 2

    h-index

  3. The Astronomical Journal

    AJ · 1 publications · 35 citations

    1

    h-index

  4. 1

    h-index

  5. Jurnal Pendidikan Ilmu Sosial

    1 publications · 20 citations

    1

    h-index

1–5