Database Paper Browser

Back to papers

Tailoring Data Source Distributions for Fairness-aware Data Integration

Summary: Tailors data-source mixes to satisfy fairness-based distributions under cost constraints. Known distributions with equal costs yield optimal results; for unknowns or unequal costs, use approximations with exploration–exploitation and validation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12426
Venue
VLDB
Year
2021
Pagerank
5.0528156e-05
Overall Rank
6,467 | 55.02%
DOI
10.14778/3476249.3476299

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 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