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Indexing Metric Uncertain Data for Range Queries

Summary: Introduces object-level and bi-level models for metric uncertain data and two indexes—UPB-tree and UPB-forest—for probabilistic range queries over diverse uncertainty types. Uses pivot-based pruning with probability bounds on a B+-tree backbone, achieving lower construction cost, smaller storage, and faster queries with easy DBMS integration. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4948
Venue
SIGMOD
Year
2015
Pagerank
4.1945683e-05
Overall Rank
11,904 | 17.19%
DOI
10.1145/2723372.2723728

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