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Space-optimal Heavy Hitters with Strong Error Bounds

Summary: Shows FREQUENT/SpaceSaving get a tail guarantee: per-item error depends only on the L1 mass of the tail, not on top frequencies, making them space-optimal under this stronger bound. Implies O(k) space sparse recovery with near-optimal L1 error (improving O(k log n)) and gives guarantees for Zipfian data and mergeable summaries. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1487
Venue
PODS
Year
2009
Pagerank
0.00011085267
Overall Rank
1,629 | 88.67%
DOI
-

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