Utility-Maximizing Event Stream Suppression
Summary: Formalizes utility-maximizing suppression in CEP with privacy preferences to limit sensitive pattern disclosure while preserving nonsensitive signals. Two real-time solutions: optimal at the event-type level; event-instance level with cardinality estimation. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Di Wang (Worcester Polytechnic Institute)
- 2. Yeye He (Microsoft; University of Wisconsin)
- 3. Elke Rundensteiner (Worcester Polytechnic Institute)
- 4. Jeffrey F. Naughton (University of Wisconsin)
BibTeX Citation
@inproceedings{wang_sigmod13,
title = {{Utility-Maximizing Event Stream Suppression}},
author = {Wang, Di and He, Yeye and Rundensteiner, Elke and Naughton, Jeffrey F.},
series = {{SIGMOD} '13},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2463676.2465305},
url = {https://dl.acm.org/doi/10.1145/2463676.2465305},
year = {2013}
}
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