Event-based Provenance

Event-Based Provenance is a type of provenance recording in collaborative visualization that captures and represents system or user interactions as discrete, timestamped events, distinguishing it from holistic or state-based approaches by focusing on individual actions and their causal relationships.

3

Publications

338

Citations

9

Authors

5

Institutions

Publications per year

2017–2026

1

Authors

9

  1. MX
    Michelle X. Zhou

    IBM (United States), United States

    2 publications · 312 citations

    2

    h-index

  2. DG
    David Gotz

    University of North Carolina at Chapel Hill, United States

    2 publications · 312 citations

    2

    h-index

  3. AA
    Anupam Alur

    Georgetown University, United States

    1 publications · 26 citations

    1

    h-index

  4. BT
    Boon Thau Loo

    University of Pennsylvania, United States

    1 publications · 26 citations

    1

    h-index

  5. CC
    Chen Chen

    Argonne National Laboratory, United States

    1 publications · 26 citations

    1

    h-index

1–5 of 9

Venues

  1. Information Visualization

    1 publications · 235 citations

    1

    h-index

1–1