Database Paper Browser

Back to papers

Mosaic: A Sample-Based Database System for Open World Query Processing

Summary: Mosaic: a sample-centric DBMS and SQL extensions that treats arbitrarily biased, unknown-probability samples as first-class citizens to enable open-world population queries. Introduces a sample-based data model and novel debiasing/query-answering techniques with preliminary evaluation. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
362
Venue
CIDR
Year
2020
Pagerank
5.1402482e-05
Overall Rank
6,230 | 56.71%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
7,853 Consistent Range Approximation for Fair Predictive Modeling 2023 VLDB 4.6308623e-05
10,046 Aegis: A Correlation-Based Data Masking Advisor for Data-Sharing Ecosystems 2026 SIGMOD 4.1905499e-05
10,574 Holistic query Approximation via RL Modeling 2025 VLDB 4.1905499e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers