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} }