Ranking Continuous Probabilistic Datasets
Summary: PRF ranks data with continuous distributions, unifying many existing rankings under a single framework. Exact algorithms for some distributions; provable-approximation schemes for general cases enable exact/approximate kNN on uncertain objects. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jian Li (University of Maryland)
- 2. Amol Deshpande (University of Maryland)
BibTeX Citation
@article{li_vldb10,
title = {{Ranking Continuous Probabilistic Datasets}},
author = {Li, Jian and Deshpande, Amol},
journal = {PVLDB},
series = {{VLDB} '10},
volume = {3},
number = {1},
pages = {638--649},
doi = {10.14778/1920841.1920924},
url = {https://doi.org/10.14778/1920841.1920924},
year = {2010}
}Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,621 | Ranking with Uncertain Scoring Functions: Semantics and Sensitivity Measures | 2011 | SIGMOD | 8.2130891e-05 |
| 5,611 | On Obtaining Stable Rankings | 2019 | VLDB | 6.0657421e-05 |
| 6,109 | Efficient Probabilistic Reverse Nearest Neighbor Query Processing on Uncertain Data | 2011 | VLDB | 5.8825187e-05 |
| 6,178 | Exact Processing of Uncertain Top-k Queries in Multi-criteria Settings | 2018 | VLDB | 5.8581814e-05 |
| 7,868 | Optimizing Probabilistic Query Processing on Continuous Uncertain Data | 2011 | VLDB | 5.4342988e-05 |
| 7,964 | Computing Immutable Regions for Subspace Top-k Queries | 2013 | VLDB | 5.4143673e-05 |
| 12,772 | Building Ranked Mashups of Unstructured Sources with Uncertain Information | 2010 | VLDB | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 343 | Model-Driven Data Acquisition in Sensor Networks | 2004 | VLDB | 0.00020510274 |
| 1,360 | A Unified Approach to Ranking in Probabilistic Databases | 2009 | VLDB | 0.00010913787 |
| 1,397 | Ranking Queries on Uncertain Data: A Probabilistic Threshold Approach | 2008 | SIGMOD | 0.00010787659 |
| 1,635 | Efficient Search for the Top-k Probable Nearest Neighbors in Uncertain Databases | 2008 | VLDB | 0.00010012676 |
| 3,107 | Top-k Queries on Uncertain Data: On Score Distribution and Typical Answers | 2009 | SIGMOD | 7.640909e-05 |
| 3,542 | Consensus Answers for Queries over Probabilistic Databases | 2009 | PODS | 7.212149e-05 |
| 6,177 | PODS: A New Model and Processing Algorithms for Uncertain Data Streams | 2010 | SIGMOD | 5.8582407e-05 |
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|---|---|---|---|---|
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| 3 | 3,107 | Top-k Queries on Uncertain Data: On Score Distribution and Typical Answers | 2009 | SIGMOD |
| 4 | 12,700 | On Pruning for Top-K Ranking in Uncertain Databases | 2011 | VLDB |
| 5 | 1,635 | Efficient Search for the Top-k Probable Nearest Neighbors in Uncertain Databases | 2008 | VLDB |
| 6 | 1,887 | Probabilistic Ranking of Database Query Results | 2004 | VLDB |
| 7 | 11,109 | A Rank-Based Approach to Recommender System’s Top-K Queries with Uncertain Scores | 2025 | SIGMOD |
| 8 | 9,615 | Ranking Distributed Probabilistic Data | 2009 | SIGMOD |
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| 10 | 1,360 | A Unified Approach to Ranking in Probabilistic Databases | 2009 | VLDB |