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Augmented Sketch: Faster and More Accurate Stream Processing

Summary: ASketch augments sketch-based freq estimation with a dynamic pre-filter that aggregates top items, boosting heavy-hitter accuracy and reducing misclassification. Overflow items go to a conventional sketch; SIMD-enabled parallelism boosts throughput. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h97acbfef0c6a2a23
Venue
SIGMOD
Year
2016
Pagerank
0.00011045888
Overall Rank
1,319 | 91.14%
DOI
10.1145/2882903.2882948

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{roy_sigmod16,
        title = {{Augmented Sketch: Faster and More Accurate Stream Processing}},
        author = {Roy, Pratanu and Khan, Arijit and Alonso, Gustavo},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2882948},
        url = {https://dl.acm.org/doi/10.1145/2882903.2882948},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 26 of 26 citing papers.

Rank Citing Paper Year Venue Pagerank
1,970 Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing 2018 SIGMOD 9.2902522e-05
3,514 Sketching Linear Classifiers over Data Streams 2018 SIGMOD 7.2429609e-05
3,980 BurstSketch: Finding Bursts in Data Streams 2021 SIGMOD 6.8788724e-05
4,642 Efficient Join Synopsis Maintenance for Data Warehouse 2020 SIGMOD 6.4898745e-05
4,901 Scalable Asynchronous Gradient Descent Optimization for Out-of-Core Models 2017 VLDB 6.3647386e-05
4,979 Pyramid Sketch: a Sketch Framework for Frequency Estimation of Data Streams 2017 VLDB 6.3300966e-05
5,516 Randomized Error Removal for Online Spread Estimation in Data Streaming 2021 VLDB 6.0970248e-05
5,910 Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix 2021 SIGMOD 5.9502983e-05
6,816 Out of Many We are One: Measuring Item Batch with Clock-Sketch 2021 SIGMOD 5.6731874e-05
7,180 On-Off Sketch: A Fast and Accurate Sketch on Persistence 2021 VLDB 5.5928753e-05
7,566 Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries 2024 SIGMOD 5.4952834e-05
7,637 Stingy Sketch: A Sketch Framework for Accurate and Fast Frequency Estimation 2022 VLDB 5.477389e-05
7,694 Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory 2024 SIGMOD 5.4764188e-05
7,873 Double-Anonymous Sketch: Achieving Top-K-fairness for Finding Global Top-K Frequent Items 2023 SIGMOD 5.4357887e-05
8,019 LadderFilter: Filtering Infrequent Items with Small Memory and Time Overhead 2023 SIGMOD 5.4061498e-05
8,035 JoinSketch: A Sketch Algorithm for Accurate and Unbiased Inner-Product Estimation 2023 SIGMOD 5.4025473e-05
8,477 TreeSensing: Linearly Compressing Sketches with Flexibility 2023 SIGMOD 5.3332727e-05
9,509 Panakos: Chasing the Tails for Multidimensional Data Streams 2023 VLDB 5.1707704e-05
9,734 CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models 2024 SIGMOD 5.1349531e-05
10,507 Sublime: Sublinear Error & Space for Unbounded Skewed Streams 2026 SIGMOD 4.9793485e-05
10,534 SieveSketch: A Fine-grained and Adaptive Sketch Framework for Accurate Frequency Estimation 2026 SIGMOD 4.9793485e-05
10,627 CorrBound: Cardinality Estimation Accounting for Inter- and Intra-relation Correlations 2026 SIGMOD 4.9793485e-05
11,304 Cuckoo Heavy Keeper and the balancing act of maintaining heavy hitters in stream processing 2025 VLDB 4.9793485e-05
11,536 Enabling Adaptive Sampling for Intra-Window Join: Simultaneously Optimizing Quantity and Quality 2024 SIGMOD 4.9793485e-05
11,538 A Universal Sketch for Estimating Heavy Hitters and Per-Element Frequency Moments in Data Streams with Bounded Deletions 2024 SIGMOD 4.9793485e-05
11,591 Enhancing Accuracy for Super Spreader Identification in High-Speed Data Streams 2024 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

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