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)
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Authors
- 1. Lu Chen
- 2. Yunjun Gao
- 3. Xinhan Li
- 4. Christian S. Jensen
- 5. Gang Chen
- 6. Baihua Zheng
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