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Constructing Join Histograms from Histograms with q-error Guarantees

Summary: Constructs a join histogram from two single-column histograms on different attributes with q-error guarantees, without accessing base data. Linear-time construction; output size ≤ sum of input sizes; enables accurate join cardinality estimation, with rare theoretical adversarial failures. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5219
Venue
SIGMOD
Year
2016
Pagerank
5.321813e-05
Overall Rank
9,524 | 33.81%
DOI
10.1145/2882903.2914828

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,647 Cardinality Estimation for Having-Clauses 2025 VLDB 5.1725247e-05
11,360 Scaling Equi-Joins 2022 SIGMOD 5.1725247e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
5,647 Exploiting Ordered Dictionaries to Efficiently Construct Histograms with Q-Error Guarantees in SAP HANA 2014 SIGMOD 6.2011141e-05
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