DBScholar

Back to papers

Efficient Estimation of Inclusion Coefficient using HyperLogLog Sketches

Summary: Introduces BML, an HLL-based estimator for column inclusion coefficients that substantially improves accuracy over Bottom-k sketches for profiling and foreign-key discovery. Also enables deletion-aware incremental HLL maintenance with constant extra memory. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11792
Venue
VLDB
Year
2018
Pagerank
6.2971456e-05
Overall Rank
5,257 | 63.94%
DOI
10.14778/3231751.3231759

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{nazi_vldb18,
        title = {{Efficient Estimation of Inclusion Coefficient using HyperLogLog Sketches}},
        author = {Nazi, Azade and Ding, Bolin and Narasayya, Vivek and Chaudhuri, Surajit},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {10},
        pages = {1097--1109},
        doi = {10.14778/3231751.3231759},
        url = {https://doi.org/10.14778/3231751.3231759},
        year = {2018}
}

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