U-DBMS: A Database System for Managing Constantly-Evolving Data
Summary: U-DBMS extends PostgreSQL with uncertainty management for constantly-evolving sensor data. Each value is an interval and a PDF, enabling probabilistic query operators to produce imprecise yet correct results under resource-limited streaming. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Reynold Cheng (Hong Kong Polytechnic University)
- 2. Sarvjeet Singh (Purdue University)
- 3. Sunil Prabhakar (Purdue University)
BibTeX Citation
@article{cheng_vldb05,
title = {{U-DBMS: A Database System for Managing Constantly-Evolving Data}},
author = {Cheng, Reynold and Singh, Sarvjeet and Prabhakar, Sunil},
journal = {PVLDB},
series = {{VLDB} '05},
pages = {1271},
year = {2005}
}
Incoming Citations (Sorted by Pagerank)
Showing 14 of 14 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 125 | Trio: A System for Integrated Management of Data, Accuracy, and Lineage | 2005 | CIDR | 0.00030932014 |
| 359 | Evaluating Probabilistic Queries over Imprecise Data | 2003 | SIGMOD | 0.0002023153 |
| 2,367 | Using Probabilistic Models for Data Management in Acquisitional Environments | 2005 | CIDR | 8.6855754e-05 |
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