Database Paper Browser

Back to papers

AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators

Summary: AdaNDV learns to adaptively select complementary NDV estimators by classifying over- vs under-estimators and picking from each category for error correction. It then predicts fusion weights to combine selected estimators, improving accuracy at large scale versus direct NDV learners. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13782
Venue
VLDB
Year
2025
Pagerank
4.1945683e-05
Overall Rank
10,534 | 26.72%
DOI
10.14778/3717755.3717769

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 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