User-guided Data Exploration

User-Guided Data Exploration is a method of interactive data exploration in which the user explicitly directs the search, navigation, and refinement of data insights through iterative inputs, distinguishing it from automated or system-initiated exploration approaches.

69

Publications

3.4K

Citations

252

Authors

128

Institutions

Publications per year

2017–2026

30

Authors

252

  1. SI
    Stratos Idreos

    Harvard University Press, United States

    4 publications · 386 citations

    4

    h-index

  2. OP
    Olga Papaemmanouil

    Brandeis University, United States

    4 publications · 468 citations

    4

    h-index

  3. AP
    Aditya Parameswaran

    Stanford University, United States

    3 publications · 81 citations

    3

    h-index

  4. SA
    Sihem Amer-Yahia

    Université Grenoble Alpes, France

    2 publications · 30 citations

    3

    h-index

  5. HG
    Héctor García-Molina

    Stanford University, United States

    3 publications · 81 citations

    3

    h-index

1–5 of 252

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 7 publications · 515 citations

    8

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 5 publications · 172 citations

    5

    h-index

  3. ACM SIGMOD Record

    3 publications · 71 citations

    3

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 111 citations

    2

    h-index

  5. Technometrics

    1 publications · 75 citations

    1

    h-index

1–5