The DOI matches its Crossref record.
An improved data stream summary: the count-min sketch and its applications
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Bias in observed volumes can be attributed to the adoption by SEO tools of sampling strategies and/or approximate counting techniques [2], e.g., count-min sketch summaries [3].”
From Estimating the Total Volume of Queries to a Search Engine (2022) · cites this paper as [3]
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 5
- 1999, J. Comput. System Sci., 58, 137, 10.1006/jcss.1997.1545 · DOI
- Estan, 2002, New directions in traffic measurement and accounting, Proceedings of ACM SIGCOMM, Computer Communication Review, 32, 323, 10.1145/964725.633056 · DOI
- Gibbons, 1999, Synopsis structures for massive data sets, 10.1090/dimacs/050/02 · DOI
- Greenwald, 2001, Space-efficient online computation of quantile summaries, SIGMOD Record (ACM Special Interest Group on Management of Data), 30, 58
- Johnson, 1984, Extensions of Lipshitz mapping into Hilbert space, Contemp. Math., 26, 189, 10.1090/conm/026/737400 · DOI
Cited by
Sorted by citations
On the Power of Multiple Anonymous Messages
Ghazi, B., Golowich, N., Kumar, R., Pagh, R., & Velingker, A. (2019) · arXiv · doi:10.48550/arxiv.1908.11358 · Cited by 26
KHyperLogLog: Estimating Reidentifiability and Joinability of Large Data at Scale
Chia, P. H., Desfontaines, D., Perera, I. M., Simmons-Marengo, D., Li, C., Day, W.-Y., Wang, Q., & Guevara, M. (2019) · 2019 IEEE Symposium on Security and Privacy (SP) · doi:10.1109/sp.2019.00046 · Cited by 15
Estimating the Total Volume of Queries to a Search Engine
Lillo, F., & Ruggieri, S. (2022) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2021.3054668 · Cited by 4
Metadata
- Authors
- Cormode, G., & Muthukrishnan, S.
- Venue
- Journal of Algorithms
- Publisher
- Elsevier BV
- Published
- 2005-04
- Volume
- 55
- Issue
- 1
- Pages
- 58-75
- ISSN
- 0196-6774
- Cited by
- 1,743
- References
- 0
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: An improved data stream summary: the count-min sketch and its applications. https://app.cochat.ai/papers/10.1016/j.jalgor.2003.12.001
- The paper
- Cormode, G., & Muthukrishnan, S. (2005). An improved data stream summary: the count-min sketch and its applications. Journal of Algorithms. https://doi.org/10.1016/j.jalgor.2003.12.001
