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 |
|---|---|---|---|---|
| 3,755 | BurstSketch: Finding Bursts in Data Streams | 2021 | SIGMOD | 6.7822789e-05 |
| 7,731 | Double-Anonymous Sketch: Achieving Top-K-fairness for Finding Global Top-K Frequent Items | 2023 | SIGMOD | 4.6612382e-05 |
| 8,745 | Pontus: Finding Waves in Data Streams | 2023 | SIGMOD | 4.4520434e-05 |
| 9,079 | JoinSketch: A Sketch Algorithm for Accurate and Unbiased Inner-Product Estimation | 2023 | SIGMOD | 4.3956812e-05 |
| 10,397 | Pandora: An Efficient and Rapid Solution for Persistence-Based Tasks in High-Speed Data Streams | 2025 | SIGMOD | 4.1905499e-05 |
| 10,986 | A Universal Sketch for Estimating Heavy Hitters and Per-Element Frequency Moments in Data Streams with Bounded Deletions | 2024 | SIGMOD | 4.1905499e-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 |
|---|---|---|---|---|
| 1,586 | Augmented Sketch: Faster and More Accurate Stream Processing | 2016 | SIGMOD | 0.00011245213 |
| 1,793 | Summingbird: A Framework for Integrating Batch and Online MapReduce Computations | 2014 | VLDB | 0.00010522029 |
| 1,944 | Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing | 2018 | SIGMOD | 0.00010008078 |
| 2,609 | Graph Stream Summarization: From Big Bang to Big Crunch | 2016 | SIGMOD | 8.4587236e-05 |
| 2,848 | A General-Purpose Counting Filter: Making Every Bit Count | 2017 | SIGMOD | 8.0202739e-05 |
| 3,322 | Sketching Linear Classifiers over Data Streams | 2018 | SIGMOD | 7.217965e-05 |
| 3,618 | Persistent Data Sketching | 2015 | SIGMOD | 6.9080647e-05 |
| 5,338 | Persistent Bloom Filter: Membership Testing for the Entire History | 2018 | SIGMOD | 5.5608985e-05 |
| 5,510 | Time Adaptive Sketches (Ada-Sketches) for Summarizing Data Streams | 2016 | SIGMOD | 5.4704702e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,446 | On the algebra of data sketches | 2021 | VLDB | 4.5042806e-05 |
| 8,380 | Single Update Sketch with Variable Counter Structure | 2023 | VLDB | 4.5267558e-05 |
| 5,377 | Pyramid Sketch: a Sketch Framework for Frequency Estimation of Data Streams | 2017 | VLDB | 5.5381456e-05 |
| 1,586 | Augmented Sketch: Faster and More Accurate Stream Processing | 2016 | SIGMOD | 0.00011245213 |
| 10,034 | SieveSketch: A Fine-grained and Adaptive Sketch Framework for Accurate Frequency Estimation | 2026 | SIGMOD | 4.1905499e-05 |
| 4,912 | Randomized Error Removal for Online Spread Estimation in Data Streaming | 2021 | VLDB | 5.8342232e-05 |
| 3,755 | BurstSketch: Finding Bursts in Data Streams | 2021 | SIGMOD | 6.7822789e-05 |
| 8,246 | Stingy Sketch: A Sketch Framework for Accurate and Fast Frequency Estimation | 2022 | VLDB | 4.5462498e-05 |
| 6,909 | PR-Sketch: Monitoring Per-key Aggregation of Streaming Data with Nearly Full Accuracy | 2021 | VLDB | 4.8878659e-05 |
| 6,791 | On-Off Sketch: A Fast and Accurate Sketch on Persistence | 2021 | VLDB | 4.9204179e-05 |