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
3
Distributed Provenance Compression
Chen Chen, Harshal Tushar Lehri, Lay Kuan Loh et al. · 2017 · 26 citations
PACED: Provenance-based Automated Container Escape Detection
Mashal Abbas, Shahpar Khan, Abdul Monum et al. · 2022 · 15 citations
1–4 of 3
9
2
h-index
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 9
5
Georgetown University
Washington, United States
1 h-index
1 publications
26 citations
IBM (United States)
Armonk, United States
1 h-index
2 publications
470 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
1 h-index
2 publications
154 citations
University of Pennsylvania
Philadelphia, United States
1 h-index
4 publications
104 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
2 publications
52 citations

University of British Columbia
Vancouver, Canada
1 publications
15 citations
SRI International
Menlo Park, United States
1 publications
15 citations

University of Otago
Dunedin, New Zealand
1 publications
15 citations
1–8 of 5
1 publications · 235 citations
1
h-index
1–1