Out of Many We are One: Measuring Item Batch with Clock-Sketch
Summary: Clock-sketch: a CLOCK-based framework for item batch measurement in streams, preserving item identities within a time window T while aging out stale data. Under tight memory, it outperforms SWAMP with up to 50x fewer false positives; source code released on GitHub. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Peiqing Chen
- 2. Dong Chen
- 3. Lingxiao Zheng
- 4. Jizhou Li
- 5. Tong Yang
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,751 | BurstSketch: Finding Bursts in Data Streams | 2021 | SIGMOD | 6.7888099e-05 |
| 7,732 | Double-Anonymous Sketch: Achieving Top-K-fairness for Finding Global Top-K Frequent Items | 2023 | SIGMOD | 4.6657123e-05 |
| 8,749 | Pontus: Finding Waves in Data Streams | 2023 | SIGMOD | 4.456315e-05 |
| 9,082 | JoinSketch: A Sketch Algorithm for Accurate and Unbiased Inner-Product Estimation | 2023 | SIGMOD | 4.3998984e-05 |
| 10,386 | Pandora: An Efficient and Rapid Solution for Persistence-Based Tasks in High-Speed Data Streams | 2025 | SIGMOD | 4.1945683e-05 |
| 10,983 | A Universal Sketch for Estimating Heavy Hitters and Per-Element Frequency Moments in Data Streams with Bounded Deletions | 2024 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
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 |
|---|---|---|---|---|
| 1,584 | Augmented Sketch: Faster and More Accurate Stream Processing | 2016 | SIGMOD | 0.00011255801 |
| 1,794 | Summingbird: A Framework for Integrating Batch and Online MapReduce Computations | 2014 | VLDB | 0.00010532024 |
| 1,941 | Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing | 2018 | SIGMOD | 0.00010017745 |
| 2,607 | Graph Stream Summarization: From Big Bang to Big Crunch | 2016 | SIGMOD | 8.4630211e-05 |
| 2,843 | A General-Purpose Counting Filter: Making Every Bit Count | 2017 | SIGMOD | 8.0257314e-05 |
| 3,319 | Sketching Linear Classifiers over Data Streams | 2018 | SIGMOD | 7.226439e-05 |
| 3,614 | Persistent Data Sketching | 2015 | SIGMOD | 6.9147318e-05 |
| 5,332 | Persistent Bloom Filter: Membership Testing for the Entire History | 2018 | SIGMOD | 5.5662513e-05 |
| 5,496 | Time Adaptive Sketches (Ada-Sketches) for Summarizing Data Streams | 2016 | SIGMOD | 5.4757316e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,452 | On the algebra of data sketches | 2021 | VLDB | 4.5086031e-05 |
| 8,380 | Single Update Sketch with Variable Counter Structure | 2023 | VLDB | 4.5310997e-05 |
| 1,584 | Augmented Sketch: Faster and More Accurate Stream Processing | 2016 | SIGMOD | 0.00011255801 |
| 5,369 | Pyramid Sketch: a Sketch Framework for Frequency Estimation of Data Streams | 2017 | VLDB | 5.5434712e-05 |
| 10,034 | SieveSketch: A Fine-grained and Adaptive Sketch Framework for Accurate Frequency Estimation | 2026 | SIGMOD | 4.1945683e-05 |
| 4,905 | Randomized Error Removal for Online Spread Estimation in Data Streaming | 2021 | VLDB | 5.8398332e-05 |
| 3,751 | BurstSketch: Finding Bursts in Data Streams | 2021 | SIGMOD | 6.7888099e-05 |
| 8,250 | Stingy Sketch: A Sketch Framework for Accurate and Fast Frequency Estimation | 2022 | VLDB | 4.5506131e-05 |
| 6,905 | PR-Sketch: Monitoring Per-key Aggregation of Streaming Data with Nearly Full Accuracy | 2021 | VLDB | 4.8925595e-05 |
| 6,790 | On-Off Sketch: A Fast and Accurate Sketch on Persistence | 2021 | VLDB | 4.9251439e-05 |