Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds
Summary: Introduces attribute-annotated uncertain databases (AU-DBs) that bound tuples and attribute values to compactly approximate incomplete data. Provides a scalable evaluation semantics closed under relational algebra with aggregation, using accuracy-for-performance optimizations for complex queries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Su Feng (Illinois Institute of Technology)
- 2. Boris Glavic (Illinois Institute of Technology)
- 3. Aaron Huber (State University of New York at Buffalo)
- 4. Oliver A. Kennedy (State University of New York at Buffalo)
BibTeX Citation
@inproceedings{feng_sigmod21,
title = {{Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds}},
author = {Feng, Su and Glavic, Boris and Huber, Aaron and Kennedy, Oliver A.},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3452791},
url = {https://dl.acm.org/doi/10.1145/3448016.3452791},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,805 | Efficient Answering of Historical What-if Queries | 2022 | SIGMOD | 6.5003306e-05 |
| 8,724 | FastPDB: Towards Bag-Probabilistic Queries at Interactive Speeds | 2025 | SIGMOD | 5.3766157e-05 |
| 9,194 | Efficient Approximation of Certain and Possible Answers for Ranking and Window Queries over Uncertain Data | 2023 | VLDB | 5.3058708e-05 |
| 10,576 | Efficient Query Repair for Aggregate Constraints | 2026 | VLDB | 5.093636e-05 |
| 11,367 | Querying Incomplete Numerical Data: Between Certain and Possible Answers | 2023 | PODS | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 24 of 24 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 10 | 4,811 | Uncertainty Annotated Databases - A Lightweight Approach for Approximating Certain Answers | 2019 | SIGMOD |