Fuzzy Prophet: Parameter Exploration in Uncertain Enterprise Scenarios
Summary: Fuzzy Prophet is a probabilistic DB for uncertain scenarios, using VG-Functions and declarative specs with Monte Carlo to derive outcome distributions. Fingerprint-based caching reuses computations across parameter values, speeding parameter search. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Oliver Kennedy (Cornell University; EPFL)
- 2. Steve Lee (Microsoft)
- 3. Charles Loboz (Microsoft)
- 4. Slawek Smyl (Microsoft)
- 5. Suman Nath (Microsoft)
BibTeX Citation
@inproceedings{kennedy_sigmod11,
title = {{Fuzzy Prophet: Parameter Exploration in Uncertain Enterprise Scenarios}},
author = {Kennedy, Oliver and Lee, Steve and Loboz, Charles and Smyl, Slawek and Nath, Suman},
series = {{SIGMOD} '11},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1989323.1989482},
url = {https://dl.acm.org/doi/10.1145/1989323.1989482},
year = {2011}
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Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 238 | MCDB: A Monte Carlo Approach to Managing Uncertain Data | 2008 | SIGMOD | 0.0002369322 |
| 683 | MYSTIQ: A system for finding more answers by using probabilities | 2005 | SIGMOD | 0.00015005338 |
| 2,042 | Orion 2.0: Native Support for Uncertain Data | 2008 | SIGMOD | 9.2691675e-05 |
| 4,147 | Trio-One: Layering Uncertainty and Lineage on a Conventional DBMS | 2007 | CIDR | 6.8720637e-05 |
| 8,192 | Jigsaw: Efficient Optimization Over Uncertain Enterprise Data | 2011 | SIGMOD | 5.4698006e-05 |
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