DBScholar

Back to papers

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
9047
Venue
VLDB
Year
2002
Pagerank
7.7055991e-05
Overall Rank
3,150 | 78.39%
DOI
10.1016/B978-155860869-6/50037-8

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{cormode_vldb02,
        title = {{Comparing Data Streams Using Hamming Norms (How to Zero In)}},
        author = {Cormode, Graham and Datar, Mayur and Indyk, Piotr and Muthukrishnan, S.},
        journal = {PVLDB},
        series = {{VLDB} '02},
        doi = {10.1016/B978-155860869-6/50037-8},
        url = {https://doi.org/10.1016/B978-155860869-6/50037-8},
        year = {2002}
}

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers