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Cited by 418

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

Henzinger, Monika, Raghavan, Prabhakar, Rajagopalan, Sridhar·1999·DIMACS Series in Discrete Mathematics and Theoretical Computer Science

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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Crossref · 10.1090/dimacs/050/05

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Cites

  • Competitive snoopy caching

    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].”
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Metadata

Authors
Henzinger, M., Raghavan, P., & Rajagopalan, S.
Venue
DIMACS Series in Discrete Mathematics and Theoretical Computer Science
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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