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A Universal Sketch for Estimating Heavy Hitters and Per-Element Frequency Moments in Data Streams with Bounded Deletions
Summary: Introduces Removable Augmented Sketch and Removable Universal Sketch for bounded-deletion turnstile streams, enabling online, memory-efficient estimation of heavy hitters, per-element frequencies, frequency moments, and distribution. Augments with Online Moment Estimator and compressed counters to boost accuracy and memory, delivering 16–69% F1 gains and up to 3e4× throughput in moment estimation.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6974
- Venue
- SIGMOD
- Year
- 2024
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,986 | 23.65%
- DOI
-
10.1145/3698799
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Incoming Citations (Sorted by Pagerank)
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| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 28 of 28 cited papers.
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| Rank |
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Year |
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| 1 |
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1979 |
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0.0040465394 |
| 71 |
How Good Are Query Optimizers, Really? |
2016 |
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0.00059446482 |
| 168 |
Approximate Frequency Counts over Data Streams |
2002 |
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0.0003915627 |
| 550 |
Tracking Join and Self-Join Sizes in Limited Storage |
1999 |
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0.00020346247 |
| 1,586 |
Augmented Sketch: Faster and More Accurate Stream Processing |
2016 |
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| 1,944 |
Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing |
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Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries |
2018 |
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7.8218804e-05 |
| 3,273 |
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7.217965e-05 |
| 3,992 |
FactorJoin: A New Cardinality Estimation Framework for Join Queries |
2023 |
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6.5519369e-05 |
| 4,912 |
Randomized Error Removal for Online Spread Estimation in Data Streaming |
2021 |
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5.8342232e-05 |
| 5,152 |
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2013 |
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5.6550754e-05 |
| 5,405 |
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2024 |
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5.5243727e-05 |
| 5,636 |
KLL± Approximate Quantile Sketches over Dynamic Datasets |
2021 |
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5.3985928e-05 |
| 5,886 |
COMPASS: Online Sketch-based Query Optimization for In-Memory Databases |
2021 |
SIGMOD |
5.2847297e-05 |
| 5,978 |
SafeBound: A Practical System for Generating Cardinality Bounds |
2023 |
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5.2424396e-05 |
| 6,347 |
BPTree: an ℓ2 Heavy Hitters Algorithm Using Constant Memory |
2017 |
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5.0969206e-05 |
| 6,594 |
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4.9951304e-05 |
| 7,057 |
EAGr: Supporting Continuous Ego-centric Aggregate Queries over Large Dynamic Graphs |
2014 |
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4.841817e-05 |
| 7,913 |
Mining Quality Phrases from Massive Text Corpora |
2015 |
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4.6139203e-05 |
| 8,203 |
SpaceSaving±: An Optimal Algorithm for Frequency Estimation and Frequent Items in the Bounded-Deletion Model |
2022 |
VLDB |
4.5552628e-05 |
| 8,380 |
Single Update Sketch with Variable Counter Structure |
2023 |
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4.5267558e-05 |
| 8,814 |
Memory-Efficient and Flexible Detection of Heavy Hitters in High-Speed Networks |
2023 |
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4.4395913e-05 |
| 8,829 |
A Distributed System for Large-scale n-gram Language Models at Tencent |
2019 |
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4.4364351e-05 |
| 9,022 |
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2020 |
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4.4040354e-05 |
| 9,230 |
Panakos: Chasing the Tails for Multidimensional Data Streams |
2023 |
VLDB |
4.3650857e-05 |
| 9,357 |
Tracking Set Correlations at Large Scale |
2014 |
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4.3483969e-05 |
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VIP Hashing - Adapting to Skew in Popularity of Data on the Fly |
2022 |
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4.2652623e-05 |
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