Matrix Sketching Over Sliding Windows
Summary: Matrix sketching over sliding windows: time- and sequence-based continuous tracking of A^T A with l<<n. Shows linear-space needs for exact covariance in sliding windows vs O(d^2) streaming; proposes three frameworks—norm-sampling, Logarithmic Method, Dyadic Interval—with empirical validation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zhewei Wei (Renmin University of China)
- 2. Xuancheng Liu (Renmin University of China)
- 3. Feifei Li (University of Utah)
- 4. Shuo Shang (Renmin University of China)
- 5. Xiaoyong Du (Renmin University of China)
- 6. Ji-Rong Wen (Renmin University of China)
BibTeX Citation
@inproceedings{wei_sigmod16,
title = {{Matrix Sketching Over Sliding Windows}},
author = {Wei, Zhewei and Liu, Xuancheng and Li, Feifei and Shang, Shuo and Du, Xiaoyong and Wen, Ji-Rong},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2915228},
url = {https://dl.acm.org/doi/10.1145/2882903.2915228},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,247 | Optimal Approximate Matrix Multiplication over Sliding Windows | 2026 | VLDB | 5.4574671e-05 |
| 8,268 | Efficient Matrix Sketching over Distributed Data | 2017 | PODS | 5.4574671e-05 |
| 9,374 | Optimal Matrix Sketching over Sliding Windows | 2024 | VLDB | 5.2755515e-05 |
| 10,427 | AeroSketch: Near-Optimal Time Matrix Sketch Framework for Persistent, Sliding Window, and Distributed Streams | 2026 | SIGMOD | 5.093636e-05 |
| 11,519 | Truly Perfect Samplers for Data Streams and Sliding Windows | 2022 | PODS | 5.093636e-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 |
|---|---|---|---|---|
| 26 | Models and Issues in Data Stream Systems | 2002 | PODS | 0.00052982574 |
| 122 | Approximate Frequency Counts over Data Streams | 2002 | VLDB | 0.00031260115 |
| 451 | Mergeable Summaries | 2012 | PODS | 0.00018151445 |
| 691 | Approximate Counts and Quantiles over Sliding Windows | 2004 | PODS | 0.00014927798 |
| 1,252 | Streaming Pattern Discovery in Multiple Time-Series | 2005 | VLDB | 0.00011483752 |
| 2,441 | Optimal Multi-scale Patterns in Time Series Streams | 2006 | SIGMOD | 8.5779023e-05 |
| 2,753 | Sampling Time-Based Sliding Windows in Bounded Space | 2008 | SIGMOD | 8.1647557e-05 |
| 3,721 | Database-friendly Random Projections | 2001 | PODS | 7.1736703e-05 |
| 6,697 | Continuous Matrix Approximation on Distributed Data | 2014 | VLDB | 5.7985588e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 5,793 | Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix | 2021 | SIGMOD |
| 2 | 5,946 | Streaming Anomaly Detection Using Randomized Matrix Sketching | 2016 | VLDB |
| 3 | 2,576 | Optimal Sampling from Sliding Windows | 2009 | PODS |
| 4 | 12,629 | Variance Estimation over Sliding Windows | 2007 | PODS |
| 5 | 8,268 | Efficient Matrix Sketching over Distributed Data | 2017 | PODS |
| 6 | 7,713 | Sketch-based Querying of Distributed Sliding-Window Data Streams | 2012 | VLDB |
| 7 | 6,697 | Continuous Matrix Approximation on Distributed Data | 2014 | VLDB |
| 8 | 10,427 | AeroSketch: Near-Optimal Time Matrix Sketch Framework for Persistent, Sliding Window, and Distributed Streams | 2026 | SIGMOD |
| 9 | 8,247 | Optimal Approximate Matrix Multiplication over Sliding Windows | 2026 | VLDB |
| 10 | 9,374 | Optimal Matrix Sketching over Sliding Windows | 2024 | VLDB |