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Finding Hierarchical Heavy Hitters in Data Streams

Summary: Defines Hierarchical Heavy Hitters (HHH) in data streams: report nodes whose discounted descendant counts reach phi of the total, under a hierarchy. Presents deterministic and randomized, hierarchy-aware algorithms that outperform naive approaches, with experiments showing improved accuracy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8998
Venue
VLDB
Year
2003
Pagerank
5.635103e-05
Overall Rank
5,188 | 63.95%
DOI
-

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