QUIC: Handling Query Imprecision & Data Incompleteness in Autonomous Databases
Summary: QUIC: decision-theoretic framework that ranks answers by expected relevance, combining a user relevance function with a density model over missing attribute values to handle imprecise queries and incomplete tuples. Describes automated learning of these functions, efficient retrieval techniques, trust mechanisms and a prototype evaluation. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Subbarao Kambhampati (Arizona State University)
- 2. Garrett Wolf (Arizona State University)
- 3. Yi Chen (Arizona State University)
- 4. Hemal Khatri (Arizona State University)
- 5. Bhaumik Chokshi (Arizona State University)
- 6. Jianchun Fan (Arizona State University)
- 7. Ullas Nambiar (Arizona State University)
BibTeX Citation
@inproceedings{kambhampati_cidr07,
address = {Amsterdam, Netherlands},
series = {{CIDR} '07},
title = {{QUIC: Handling Query Imprecision \& Data Incompleteness in Autonomous Databases}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Kambhampati, Subbarao and Wolf, Garrett and Chen, Yi and Khatri, Hemal and Chokshi, Bhaumik and Fan, Jianchun and Nambiar, Ullas},
year = {2007}
}Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 78 | ULDBs: Databases with Uncertainty and Lineage | 2006 | VLDB | 0.00036571789 |
| 466 | Automated Ranking of Database Query Results | 2003 | CIDR | 0.00018014467 |
| 680 | Creating Probabilistic Databases from Information Extraction Models | 2006 | VLDB | 0.0001504854 |
| 1,526 | Ordering the Attributes of Query Results | 2006 | SIGMOD | 0.00010491673 |
| 1,844 | Probabilistic Ranking of Database Query Results | 2004 | VLDB | 9.6314187e-05 |
| 2,509 | Foundations of Probabilistic Answers to Queries | 2005 | SIGMOD | 8.4857765e-05 |
| 5,801 | Query Processing over Incomplete Autonomous Databases | 2007 | VLDB | 6.0850704e-05 |
| 5,961 | Answering Imprecise Queries over Web Databases | 2005 | VLDB | 6.0274692e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 9,225 | Queries with Arithmetic on Incomplete Databases | 2020 | PODS |
| 2 | 8,260 | Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds | 2021 | SIGMOD |
| 3 | 50 | Efficient Query Evaluation on Probabilistic Databases | 2004 | VLDB |
| 4 | 6,052 | Exact Processing of Uncertain Top-k Queries in Multi-criteria Settings | 2018 | VLDB |
| 5 | 1,844 | Probabilistic Ranking of Database Query Results | 2004 | VLDB |
| 6 | 466 | Automated Ranking of Database Query Results | 2003 | CIDR |
| 7 | 8,837 | Coping with Incomplete Data: Recent Advances | 2020 | PODS |
| 8 | 1,818 | A Probabilistic Framework for Vague Queries and Imprecise Information in Databases | 1990 | VLDB |
| 9 | 5,961 | Answering Imprecise Queries over Web Databases | 2005 | VLDB |
| 10 | 5,801 | Query Processing over Incomplete Autonomous Databases | 2007 | VLDB |