Approximate Counts and Quantiles over Sliding Windows
Summary: Deterministic and randomized algorithms for ε-approximate frequency counts and quantiles over both fixed-size and adversarial variable-size sliding windows, using O((1/ε) polylog(1/ε,N)) space. Improves prior quantile bounds from O(1/ε^2) and gives the first space-efficient bounds for sliding-window frequency counts. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Arvind Arasu (Stanford University)
- 2. Gurmeet Singh Manku (Stanford University)
BibTeX Citation
@inproceedings{arasu_pods04,
address = {New York, NY, USA},
series = {{PODS} '04},
title = {{Approximate Counts and Quantiles over Sliding Windows}},
url = {https://dl.acm.org/doi/10.1145/1055558.1055598},
doi = {10.1145/1055558.1055598},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Arasu, Arvind and Manku, Gurmeet Singh},
year = {2004}
}
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