DBScholar

Back to papers

Streaming Algorithms for Robust Distinct Elements

Summary: Estimates the number of distinct entities in streams under a noisy model where items may map to the same entity. Introduces bucket sampling for Euclidean spaces, extends to metric spaces via LSH, and shows resilience to small ambiguity with practical validation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5168
Venue
SIGMOD
Year
2016
Pagerank
5.093636e-05
Overall Rank
12,034 | 17.44%
DOI
10.1145/2882903.2882915

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{chen_sigmod16,
        title = {{Streaming Algorithms for Robust Distinct Elements}},
        author = {Chen, Di and Zhang, Qin},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2882915},
        url = {https://dl.acm.org/doi/10.1145/2882903.2882915},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 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