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UPI: A Primary Index for Uncertain Databases

Summary: UPI is a primary index for uncertain databases, clustering by uncertain attributes and duplicating tuples per possible value. It adds a Cutoff Index to cap low-probability data and uses buffered, batched updates with cost models, delivering up to 100x faster uncertain queries than baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10112
Venue
VLDB
Year
2010
Pagerank
4.6821809e-05
Overall Rank
7,657 | 46.79%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
8,377 Probabilistic Management of OCR Data using an RDBMS 2012 VLDB 4.5277353e-05
11,912 Indexing Metric Uncertain Data for Range Queries 2015 SIGMOD 4.1905499e-05
11,913 Supporting Data Uncertainty in Array Databases 2015 SIGMOD 4.1905499e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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