Top-k Queries on Uncertain Data: On Score Distribution and Typical Answers
Summary: Top-k queries on uncertain data; expose the score distribution of top-k vectors to balance score and probability. Proposes algorithms to compute a compact set of representative vectors from distribution and extends to score ties, with empirical study. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tingjian Ge (Brown University)
- 2. Stan Zdonik (Brown University)
- 3. Samuel Madden (Massachusetts Institute of Technology)
BibTeX Citation
@inproceedings{ge_sigmod09,
title = {{Top-k Queries on Uncertain Data: On Score Distribution and Typical Answers}},
author = {Ge, Tingjian and Zdonik, Stan and Madden, Samuel},
series = {{SIGMOD} '09},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1559845.1559886},
url = {https://dl.acm.org/doi/10.1145/1559845.1559886},
year = {2009}
}
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,063 | k-Nearest Neighbors in Uncertain Graphs | 2010 | VLDB | 0.00012208695 |
| 3,893 | Ranking Continuous Probabilistic Datasets | 2010 | VLDB | 6.940442e-05 |
| 6,065 | k-Hit Query: Top-k Query with Probabilistic Utility Function | 2015 | SIGMOD | 5.8978409e-05 |
| 6,176 | Exact Processing of Uncertain Top-k Queries in Multi-criteria Settings | 2018 | VLDB | 5.8609559e-05 |
| 6,738 | Efficiently Answering Durability Prediction Queries | 2021 | SIGMOD | 5.6918011e-05 |
| 9,214 | Threshold Query Optimization for Uncertain Data | 2010 | SIGMOD | 5.2058816e-05 |
| 11,100 | A Rank-Based Approach to Recommender System’s Top-K Queries with Uncertain Scores | 2025 | SIGMOD | 4.9793485e-05 |
| 12,322 | Range-Max Queries on Uncertain Data | 2016 | PODS | 4.9793485e-05 |
| 12,657 | Schema-As-You-Go: On Probabilistic Tagging and Querying of Wide Tables | 2011 | SIGMOD | 4.9793485e-05 |
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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 |
|---|---|---|---|---|
| 51 | Efficient Query Evaluation on Probabilistic Databases | 2004 | VLDB | 0.00042936299 |
| 126 | Trio: A System for Integrated Management of Data, Accuracy, and Lineage | 2005 | CIDR | 0.00030439683 |
| 245 | MCDB: A Monte Carlo Approach to Managing Uncertain Data | 2008 | SIGMOD | 0.00023258672 |
| 370 | Evaluating Probabilistic Queries over Imprecise Data | 2003 | SIGMOD | 0.00019846702 |
| 587 | Management of Probabilistic Data: Foundations and Challenges | 2007 | PODS | 0.00015933201 |
| 1,396 | Ranking Queries on Uncertain Data: A Probabilistic Threshold Approach | 2008 | SIGMOD | 0.0001079253 |
| 2,709 | Comparing and Aggregating Rankings with Ties | 2004 | PODS | 8.1063128e-05 |
| 3,326 | Sliding-Window Top-k Queries on Uncertain Streams | 2008 | VLDB | 7.4227632e-05 |
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| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 715 | Data Integration with Uncertainty | 2007 | VLDB |
| 2 | 1,535 | Top-k Query Evaluation with Probabilistic Guarantees | 2004 | VLDB |
| 3 | 8,514 | URank: Formulation and Efficient Evaluation of Top-k Queries in Uncertain Databases | 2007 | SIGMOD |
| 4 | 9,374 | Efficient Approximation of Certain and Possible Answers for Ranking and Window Queries over Uncertain Data | 2023 | VLDB |
| 5 | 6,176 | Exact Processing of Uncertain Top-k Queries in Multi-criteria Settings | 2018 | VLDB |
| 6 | 1,635 | Efficient Search for the Top-k Probable Nearest Neighbors in Uncertain Databases | 2008 | VLDB |
| 7 | 11,100 | A Rank-Based Approach to Recommender System’s Top-K Queries with Uncertain Scores | 2025 | SIGMOD |
| 8 | 2,620 | Ranking with Uncertain Scoring Functions: Semantics and Sensitivity Measures | 2011 | SIGMOD |
| 9 | 3,326 | Sliding-Window Top-k Queries on Uncertain Streams | 2008 | VLDB |
| 10 | 1,396 | Ranking Queries on Uncertain Data: A Probabilistic Threshold Approach | 2008 | SIGMOD |