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
- 2. Steve Lee
- 3. Charles Loboz
- 4. Slawek Smyl
- 5. Suman Nath
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 321 | MCDB: A Monte Carlo Approach to Managing Uncertain Data | 2008 | SIGMOD | 0.00027527389 |
| 706 | MYSTIQ: A system for finding more answers by using probabilities | 2005 | SIGMOD | 0.00017845469 |
| 2,331 | Orion 2.0: Native Support for Uncertain Data | 2008 | SIGMOD | 9.018559e-05 |
| 4,163 | Trio-One: Layering Uncertainty and Lineage on a Conventional DBMS | 2007 | CIDR | 6.3923196e-05 |
| 7,787 | Jigsaw: Efficient Optimization Over Uncertain Enterprise Data | 2011 | SIGMOD | 4.6512526e-05 |
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