ProcessGAN: Generating Privacy-Preserving Time-Aware Process Data with Conditional Generative Adversarial Nets.
- DOI
- 10.1145/3687464
- Published
- 2024 Nov
- Container
- ACM transactions on knowledge discovery from data
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1145/3687464,
title = {ProcessGAN: Generating Privacy-Preserving Time-Aware Process Data with Conditional Generative Adversarial Nets.},
author = {Li K and Yang S and Sullivan TM and Burd RS and Marsic I},
year = {2024},
journal = {ACM transactions on knowledge discovery from data},
doi = {10.1145/3687464},
url = {https://doi.org/10.1145/3687464}
}RIS
TY - JOUR TI - ProcessGAN: Generating Privacy-Preserving Time-Aware Process Data with Conditional Generative Adversarial Nets. AU - Li K AU - Yang S AU - Sullivan TM AU - Burd RS AU - Marsic I PY - 2024 JO - ACM transactions on knowledge discovery from data DO - 10.1145/3687464 UR - https://doi.org/10.1145/3687464 ER -
APA
K, L., S, Y., TM, S., RS, B., & I, M. (2024). ProcessGAN: Generating Privacy-Preserving Time-Aware Process Data with Conditional Generative Adversarial Nets.. ACM transactions on knowledge discovery from data. https://doi.org/10.1145/3687464
Source records
- pubmed · retrieved 2026-09-25T14:28:14.813Z
- europe-pmc · retrieved 2026-09-25T14:28:14.822Z