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Maintaining Variance and k–Medians over Data Stream Windows

Summary: Sliding-window streaming algorithms: variance estimator with relative error ε using O((1/ε^2) log N) space. Also a constant-factor approximate k‑median for last N points using O((1/τ) k^4 N^{2τ} log^2 N) space, τ<1/2 trades space for approximation O(2^{O(1/τ)}). (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1295
Venue
PODS
Year
2003
Pagerank
8.8837279e-05
Overall Rank
2,404 | 83.28%
DOI
-

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