Efficient Indexing Methods for Probabilistic Threshold Queries over Uncertain Data
Summary: Introduces probabilistic threshold queries over interval/PDF-modeled uncertain data, testing whether predicate likelihood exceeds a threshold. Develops probability-augmented R-trees and variance-based clustering, with near-optimal indexing across uncertainty distributions. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Reynold Cheng (Purdue University)
- 2. Yuni Xia (Purdue University)
- 3. Sunil Prabhakar (Purdue University)
- 4. Rahul Shah (Purdue University)
- 5. Jeffrey Scott Vitter (Purdue University)
BibTeX Citation
@article{cheng_vldb04,
title = {{Efficient Indexing Methods for Probabilistic Threshold Queries over Uncertain Data}},
author = {Cheng, Reynold and Xia, Yuni and Prabhakar, Sunil and Shah, Rahul and Vitter, Jeffrey Scott},
journal = {PVLDB},
series = {{VLDB} '04},
pages = {876},
doi = {10.1016/B978-012088469-8.50077-2},
url = {https://doi.org/10.1016/B978-012088469-8.50077-2},
year = {2004}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 359 | Evaluating Probabilistic Queries over Imprecise Data | 2003 | SIGMOD | 0.0002023153 |
| 560 | Indexing the Positions of Continuously Moving Objects | 2000 | SIGMOD | 0.00016525569 |
| 1,139 | Managing Intervals Efficiently in Object-Relational Databases | 2000 | VLDB | 0.0001202217 |
| 1,219 | Processing Queries By Linear Constraints | 1997 | PODS | 0.00011620957 |
| 1,529 | On Two-Dimensional Indexability and Optimal Range Search Indexing (Extended Abstract) | 1999 | PODS | 0.00010482997 |
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