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Comparing Data Streams Using Hamming Norms (How to Zero In)

Summary: Proposes the Hamming norm as a streaming primitive: distinct counts in a single stream and cross-stream dissimilarity. Presents an l0-sketch based approximation for fast estimates on massive streams; validated on synthetic and real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8856
Venue
VLDB
Year
2002
Pagerank
7.6512619e-05
Overall Rank
3,050 | 78.79%
DOI
-

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