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 |
|---|---|---|---|---|
| 2,571 | Ranking with Uncertain Scoring Functions: Semantics and Sensitivity Measures | 2011 | SIGMOD | 8.4029939e-05 |
| 5,465 | On Obtaining Stable Rankings | 2019 | VLDB | 6.2075408e-05 |
| 6,052 | Exact Processing of Uncertain Top-k Queries in Multi-criteria Settings | 2018 | VLDB | 5.9941393e-05 |
| 6,561 | Efficient Probabilistic Reverse Nearest Neighbor Query Processing on Uncertain Data | 2011 | VLDB | 5.8389373e-05 |
| 7,711 | Optimizing Probabilistic Query Processing on Continuous Uncertain Data | 2011 | VLDB | 5.5614818e-05 |
| 7,806 | Computing Immutable Regions for Subspace Top-k Queries | 2013 | VLDB | 5.5407909e-05 |
| 12,475 | Building Ranked Mashups of Unstructured Sources with Uncertain Information | 2010 | VLDB | 5.093636e-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 |
|---|---|---|---|---|
| 337 | Model-Driven Data Acquisition in Sensor Networks | 2004 | VLDB | 0.00020783399 |
| 1,327 | A Unified Approach to Ranking in Probabilistic Databases | 2009 | VLDB | 0.00011141552 |
| 1,363 | Ranking Queries on Uncertain Data: A Probabilistic Threshold Approach | 2008 | SIGMOD | 0.00011025316 |
| 1,605 | Efficient Search for the Top-k Probable Nearest Neighbors in Uncertain Databases | 2008 | VLDB | 0.00010229844 |
| 3,049 | Top-k Queries on Uncertain Data: On Score Distribution and Typical Answers | 2009 | SIGMOD | 7.8151597e-05 |
| 3,483 | Consensus Answers for Queries over Probabilistic Databases | 2009 | PODS | 7.372823e-05 |
| 6,049 | PODS: A New Model and Processing Algorithms for Uncertain Data Streams | 2010 | SIGMOD | 5.9949334e-05 |
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| 7 | 10,657 | A Rank-Based Approach to Recommender System’s Top-K Queries with Uncertain Scores | 2025 | SIGMOD |
| 8 | 9,425 | Ranking Distributed Probabilistic Data | 2009 | SIGMOD |
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| 10 | 1,327 | A Unified Approach to Ranking in Probabilistic Databases | 2009 | VLDB |