Approximate Lineage for Probabilistic Databases
Summary: Introduces approximate lineage for probabilistic databases, retaining only important tuple derivations to avoid massive Boolean provenance formulas. Develops conservative sufficient lineage and Fourier-based polynomial lineage, with computation algorithms, formal error bounds, and empirical validation. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Christopher Ré (University of Washington)
- 2. Dan Suciu (University of Washington)
BibTeX Citation
@article{re_vldb08,
title = {{Approximate Lineage for Probabilistic Databases}},
author = {Ré, Christopher and Suciu, Dan},
journal = {PVLDB},
series = {{VLDB} '08},
volume = {1},
number = {1},
pages = {797--808},
doi = {10.14778/1453856.1453946},
url = {https://doi.org/10.14778/1453856.1453946},
year = {2008}
}
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