Quantile Estimation with Duplicates

Summary: DupliSketch: a quantile sketch explicitly optimized for duplicate-heavy streams, compressing arrival duplicates and using randomized compaction plus separate tracking of frequent values. Provides rank-error/space/time guarantees under duplicates and beats KLL-style baselines (avg. 44% lower error), with an IoTDB UDF deployment. (summarized by gpt-5-mini on Apr 11 2026)

Paper ID: 7509
Venue: SIGMOD
Year: 2026
Pagerank: 4.1945683e-05
Overall Rank: 10,198 | 29.06%
DOI: 10.1145/3786683

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Rank	Citing Paper	Year	Venue	Pagerank

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Showing 12 of 12 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
126	Space-Efficient Online Computation of Quantile Summaries	2001	SIGMOD	0.00044744986
140	The MADlib Analytics Library or MAD Skills, the SQL	2012	VLDB	0.00042270404
402	Mergeable Summaries	2012	PODS	0.00024196343
443	Random Sampling Techniques for Space Efficient Online Computation of Order Statistics of Large Datasets	1999	SIGMOD	0.00022996573
848	Approximate Counts and Quantiles over Sliding Windows	2004	PODS	0.0001597308
2,914	DDSketch: A Fast and Fully-Mergeable Quantile Sketch with Relative-Error Guarantees	2019	VLDB	7.9118579e-05
4,966	Relative Error Streaming Quantiles	2021	PODS	5.7959749e-05
5,627	KLL± Approximate Quantile Sketches over Dynamic Datasets	2021	VLDB	5.403782e-05
5,956	A Tight Lower Bound for Comparison-Based Quantile Summaries	2020	PODS	5.2566971e-05
8,062	Together is Better: Heavy Hitters Quantile Estimation	2023	SIGMOD	4.5943269e-05
8,203	SpaceSaving±: An Optimal Algorithm for Frequency Estimation and Frequent Items in the Bounded-Deletion Model	2022	VLDB	4.5596344e-05
11,505	Approximating Median Absolute Deviation with Bounded Error	2021	VLDB	4.1945683e-05

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