Data Streams with Bounded Deletions
Summary: Introduces α-property streams, interpolating insertion-only and turnstile models by bounding deletion-induced cancellation in Lp norm. For heavy hitters, estimation, and sampling, replaces Θ(log n) space overhead with Θ(log α), with matching or near-matching lower bounds. (summarized by gpt-5.6-luna on Jul 26 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rajesh Jayaram (Carnegie Mellon University)
- 2. David P. Woodruff (Carnegie Mellon University)
BibTeX Citation
@inproceedings{jayaram_pods18,
address = {New York, NY, USA},
series = {{PODS} '18},
title = {{Data Streams with Bounded Deletions}},
url = {https://dl.acm.org/doi/10.1145/3196959.3196986},
doi = {10.1145/3196959.3196986},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Jayaram, Rajesh and Woodruff, David P.},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,291 | A Framework for Adversarially Robust Streaming Algorithms | 2020 | PODS | 6.7786745e-05 |
| 5,184 | KLL± Approximate Quantile Sketches over Dynamic Datasets | 2021 | VLDB | 6.3283918e-05 |
| 7,328 | On the Feasibility of Forgetting in Data Streams | 2024 | PODS | 5.6435171e-05 |
| 8,106 | SpaceSaving±: An Optimal Algorithm for Frequency Estimation and Frequent Items in the Bounded-Deletion Model | 2022 | VLDB | 5.4853605e-05 |
| 11,123 | Streaming Algorithms with Few State Changes | 2024 | PODS | 5.093636e-05 |
| 11,196 | A Universal Sketch for Estimating Heavy Hitters and Per-Element Frequency Moments in Data Streams with Bounded Deletions | 2024 | SIGMOD | 5.093636e-05 |
| 11,519 | Truly Perfect Samplers for Data Streams and Sliding Windows | 2022 | PODS | 5.093636e-05 |
| 11,531 | The White-Box Adversarial Data Stream Model | 2022 | PODS | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 7 | 10,171 | Unbiased Insights: Optimal Streaming Algorithms for l_p Sampling, the Forget Model, and Beyond | 2026 | PODS |
| 8 | 11,196 | A Universal Sketch for Estimating Heavy Hitters and Per-Element Frequency Moments in Data Streams with Bounded Deletions | 2024 | SIGMOD |
| 9 | 6,454 | An Optimal Algorithm for l1-Heavy Hitters in Insertion Streams and Related Problems | 2016 | PODS |
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