The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Computing on data streams
Abstract
In this paper we study the space requirement of algorithms that make only one (or a small number of) pass(es) over the input data. We study such algorithms under a model of data streams that we introduce here. We give a number of upper and lower bounds for problems stemming from queryprocessing, invoking in the process tools from the area of communication complexity. 1
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Cites
Karlin, A. R., Manasse, M. S., Rudolph, L., & Sleator, D. D. (1988) · Algorithmica · doi:10.1007/bf01762111 · Cited by 631 · cited 1×
“Our model appears at first sight to be closely related to paper s on I/O complexity [HK81], hierarchical memory [AACS87], paging [ST85] and competitive analysis [ KMRS88 ], as well as external memory algorithms [VV96].”
Background
Cited by
Maintaining Stream Statistics over Sliding Windows
Datar, M., Gionis, A., Indyk, P., & Motwani, R. (2002) · SIAM Journal on Computing · doi:10.1137/s0097539701398363 · Cited by 835
Towards Scaling Fully Personalized PageRank
Fogaras, D., & Rácz, B. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-30216-2_9 · Cited by 84
On-device machine learning An algorithms and learning theory perspective
Dhar, S., Guo, J., Liu, J., Tripathi, S., Kurup, U., & Shah, M. (2019) · arXiv · doi:10.48550/arxiv.1911.00623 · Cited by 47
Metadata
- Authors
- Henzinger, M., Raghavan, P., & Rajagopalan, S.
- Venue
- DIMACS Series in Discrete Mathematics and Theoretical Computer Science
- Publisher
- American Mathematical Society
- Published
- 1999-11-30
- Pages
- 107-118
- ISSN
- 1052-1798 (ISSN-L)
- 2472-4793
- OpenAlex
- W1761167196
- Cited by
- 418
- References
- 1
- FWCI
- 23.88
- Type
- book chapter
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Computing on data streams. https://app.cochat.ai/papers/10.1090/dimacs/050/05
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- Henzinger, M., Raghavan, P., & Rajagopalan, S. (1999). Computing on data streams. DIMACS Series in Discrete Mathematics and Theoretical Computer Science. https://doi.org/10.1090/dimacs/050/05
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.