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 (Peking University)
- 2. Dong Chen (Peking University)
- 3. Lingxiao Zheng (Peking University)
- 4. Jizhou Li (Peking University)
- 5. Tong Yang (Peking University; Peng Cheng Laboratory)
BibTeX Citation
@inproceedings{chen_sigmod21,
title = {{Out of Many We are One: Measuring Item Batch with Clock-Sketch}},
author = {Chen, Peiqing and Chen, Dong and Zheng, Lingxiao and Li, Jizhou and Yang, Tong},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3452784},
url = {https://dl.acm.org/doi/10.1145/3448016.3452784},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,981 | BurstSketch: Finding Bursts in Data Streams | 2021 | SIGMOD | 6.875616e-05 |
| 7,878 | Double-Anonymous Sketch: Achieving Top-K-fairness for Finding Global Top-K Frequent Items | 2023 | SIGMOD | 5.4332155e-05 |
| 8,042 | JoinSketch: A Sketch Algorithm for Accurate and Unbiased Inner-Product Estimation | 2023 | SIGMOD | 5.3999898e-05 |
| 9,090 | Pontus: Finding Waves in Data Streams | 2023 | SIGMOD | 5.2258409e-05 |
| 11,123 | Pandora: An Efficient and Rapid Solution for Persistence-Based Tasks in High-Speed Data Streams | 2025 | SIGMOD | 4.9769913e-05 |
| 11,544 | A Universal Sketch for Estimating Heavy Hitters and Per-Element Frequency Moments in Data Streams with Bounded Deletions | 2024 | SIGMOD | 4.9769913e-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 |
|---|---|---|---|---|
| 1,320 | Augmented Sketch: Faster and More Accurate Stream Processing | 2016 | SIGMOD | 0.00011040663 |
| 1,633 | Summingbird: A Framework for Integrating Batch and Online MapReduce Computations | 2014 | VLDB | 0.00010015001 |
| 1,971 | Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing | 2018 | SIGMOD | 9.2858543e-05 |
| 2,073 | A General-Purpose Counting Filter: Making Every Bit Count | 2017 | SIGMOD | 9.0833741e-05 |
| 2,188 | Graph Stream Summarization: From Big Bang to Big Crunch | 2016 | SIGMOD | 8.8874856e-05 |
| 3,082 | Persistent Data Sketching | 2015 | SIGMOD | 7.6626082e-05 |
| 3,514 | Sketching Linear Classifiers over Data Streams | 2018 | SIGMOD | 7.2395322e-05 |
| 5,096 | Persistent Bloom Filter: Membership Testing for the Entire History | 2018 | SIGMOD | 6.2747628e-05 |
| 5,503 | Time Adaptive Sketches (Ada-Sketches) for Summarizing Data Streams | 2016 | SIGMOD | 6.1005523e-05 |
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| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 8,845 | On the algebra of data sketches | 2021 | VLDB |
| 2 | 8,592 | Single Update Sketch with Variable Counter Structure | 2023 | VLDB |
| 3 | 4,981 | Pyramid Sketch: a Sketch Framework for Frequency Estimation of Data Streams | 2017 | VLDB |
| 4 | 1,320 | Augmented Sketch: Faster and More Accurate Stream Processing | 2016 | SIGMOD |
| 5 | 10,545 | SieveSketch: A Fine-grained and Adaptive Sketch Framework for Accurate Frequency Estimation | 2026 | SIGMOD |
| 6 | 5,520 | Randomized Error Removal for Online Spread Estimation in Data Streaming | 2021 | VLDB |
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| 8 | 7,643 | Stingy Sketch: A Sketch Framework for Accurate and Fast Frequency Estimation | 2022 | VLDB |
| 9 | 7,261 | PR-Sketch: Monitoring Per-key Aggregation of Streaming Data with Nearly Full Accuracy | 2021 | VLDB |
| 10 | 7,183 | On-Off Sketch: A Fast and Accurate Sketch on Persistence | 2021 | VLDB |