Cormode, Graham, Karnin, Zohar, Liberty, Edo, Thaler, Justin and Veselý, Pavel (2023) Relative error streaming quantiles. Journal of the ACM, 70 (5). pp. 1-48. doi:10.1145/3617891 ISSN 0004-5411.
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Abstract
Estimating ranks, quantiles, and distributions over streaming data is a central task in data analysis and monitoring. Given a stream of n items from a data universe equipped with a total order, the task is to compute a sketch (data structure) of size polylogarithmic in n. Given the sketch and a query item y, one should be able to approximate its rank in the stream, i.e., the number of stream elements smaller than or equal to y.
Item Type: | Journal Article |
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Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science |
Library of Congress Subject Headings (LCSH): | Data structures (Computer science) , Database management , Algorithms , Computer networks -- Management -- Algorithms, Quantile regression |
Journal or Publication Title: | Journal of the ACM |
Publisher: | Association for Computing Machinery, Inc. |
ISSN: | 0004-5411 |
Official Date: | 16 October 2023 |
Dates: | Date Event 16 October 2023 Published 26 August 2023 Accepted |
Volume: | 70 |
Number: | 5 |
Page Range: | pp. 1-48 |
DOI: | 10.1145/3617891 |
Status: | Peer Reviewed |
Publication Status: | Published |
Access rights to Published version: | Open Access (Creative Commons open licence) |
Date of first compliant deposit: | 6 November 2023 |
Date of first compliant Open Access: | 8 November 2023 |
RIOXX Funder/Project Grant: | Project/Grant ID RIOXX Funder Name Funder ID 19-27871X Grantová Agentura České Republiky UNSPECIFIED |
Persistent URL: | https://wrap.warwick.ac.uk/180761/ |
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