Efficient Differencing of System-level Provenance Graphs.
Yuta Nakamura|Iyad Kanj|Tanu Malik
| Anthology ID: | DBLP:conf/cikm/NakamuraKM23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4220-4223 |
| URL: | https://doi.org/10.1145/3583780.3615171 |
| DOI: | https://doi.org/10.1145/3583780.3615171 |
| DBLP: | conf/cikm/NakamuraKM23 |
| BibTeX: |
@inproceedings{nakamura-2023-efficient,
author = {Yuta Nakamura and
Iyad Kanj and
Tanu Malik},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{Efficient Differencing of System-level Provenance Graphs}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {4220--4223},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3615171},
doi = {https://doi.org/10.1145/3583780.3615171}
}