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Pyramid Sketch: a Sketch Framework for Frequency Estimation of Data Streams

Summary: Pyramid sketch: a modular framework for frequency estimation in data streams, enabling adaptive precision and fast updates under memory limits. Applies to four standard sketches, yielding up to 3.5x accuracy and 2.1x speed on skewed workloads; GitHub. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11428
Venue
VLDB
Year
2017
Pagerank
5.5434712e-05
Overall Rank
5,369 | 62.65%
DOI
-

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Showing 9 of 9 cited papers.

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

Rank Cited Paper Year Venue Pagerank
781 Spectral Bloom Filters 2003 SIGMOD 0.00016741046
835 Finding Frequent Items in Data Streams 2008 VLDB 0.00016109621
1,392 Sketching Streams Through the Net: Distributed Approximate Query Tracking 2005 VLDB 0.00012229045
1,584 Augmented Sketch: Faster and More Accurate Stream Processing 2016 SIGMOD 0.00011255801
2,437 gSketch: On Query Estimation in Graph Streams 2012 VLDB 8.8231651e-05
3,419 Approximate XML Query Answers 2004 SIGMOD 7.1173416e-05
3,486 Holistic UDAFs at Streaming Speeds 2004 SIGMOD 7.0502199e-05
3,593 Graph-Based Synopses for Relational Selectivity Estimation 2006 SIGMOD 6.9385476e-05
8,178 A Shifting Bloom Filter Framework for Set Queries 2016 VLDB 4.5672537e-05
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