Partial Results in Database Systems
Summary: Investigates partial query results under source unavailability. Proposes a novel analytical framework to classify partial results and support coarse- to fine-grained semantic analysis, enabling partial results with explanations rather than aborting. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Willis Lang
- 2. Rimma V. Nehme
- 3. Eric Robinson
- 4. Jeffrey F. Naughton
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| 8,802 | Coping with Incomplete Data: Recent Advances | 2020 | PODS | 4.4428211e-05 |
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| 8,790 | Database Optimization for the Cloud: Where Costs, Partial Results, and Consumer Choice Meet | 2015 | CIDR | 4.4464049e-05 |