FastPDB: Towards Bag-Probabilistic Queries at Interactive Speeds
Summary: FastPDB tackles bag-probabilistic queries with bag semantics and PTIME data, but exact processing is slower than deterministic evaluation. It enables fast approximations by sampling monomials directly, avoiding upfront lineage, scalable to data. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Aaron Huber
- 2. Oliver Kennedy
- 3. Atri Rudra
- 4. Zhuoyue Zhao
- 5. Su Feng
- 6. Boris Glavic
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