Database Paper Browser

Back to papers

Efficient Estimation of Inclusion Coefficient using HyperLogLog Sketches

Summary: Introduces BML, a HyperLogLog-based estimator for the inclusion coefficient (fraction of A’s values contained in B), delivering significantly lower error than Bottom-k baselines on synthetic and real data. Also demonstrates constant-memory incremental maintenance of HyperLogLog sketches with deletions, with empirical validation on TPC-H, TPC-DS, and real-world DBs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11604
Venue
VLDB
Year
2018
Pagerank
5.547935e-05
Overall Rank
5,361 | 62.71%
DOI
10.14778/3231751.3231759

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 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