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Computing the median with uncertainty

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Jennifer WidomAuthors Info & Claims

STOC '00: Proceedings of the thirty-second annual ACM symposium on Theory of computing

Pages 602 - 607

https://doi.org/10.1145/335305.335386

Published: 01 May 2000 Publication History

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References

[1]

O.H. Ibaxra and C.E. Kim. Fast approximation algorithms for the knapsack and sum of subset problems. Journal of the A CM 22 (1975): 463-468.

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[2]

C. Olston and J. Widom. Offering a Precision-Performance Tradeoff for Aggregation Queries over Replicated Data. Submitted for publication. Stanford Technical Report http://~w~-db, stanford, edu/pub/papers/t rapp-ag, ps.

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Evans WTabatabaee S(2024)Minimizing the Size of the Uncertainty Regions for Centers of Moving EntitiesLATIN 2024: Theoretical Informatics10.1007/978-3-031-55598-5_18(273-287)Online publication date: 6-Mar-2024
https://doi.org/10.1007/978-3-031-55598-5_18
Liu ALiu FWong PZhang X(2023)The Power of Amortization on Scheduling with Explorable UncertaintyApproximation and Online Algorithms 10.1007/978-3-031-49815-2_7(90-103)Online publication date: 7-Sep-2023
https://dl.acm.org/doi/10.1007/978-3-031-49815-2_7
Albers SJanke M(2021)Online Makespan Minimization with Budgeted UncertaintyAlgorithms and Data Structures10.1007/978-3-030-83508-8_4(43-56)Online publication date: 31-Jul-2021
https://doi.org/10.1007/978-3-030-83508-8_4
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Published In

STOC '00: Proceedings of the thirty-second annual ACM symposium on Theory of computing

May 2000

756 pages

ISBN:1581131844

DOI:10.1145/335305

Chairmen:
Frances Yao,
Eugene Luks

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 May 2000

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STOC00

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SIGACT

STOC00: The 32nd Annual ACM Symposium on Theory of Computing

May 21 - 23, 2000

Oregon, Portland, USA

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STOC '00 Paper Acceptance Rate 85 of 182 submissions, 47%;

Overall Acceptance Rate 1,469 of 4,586 submissions, 32%

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STOC '25

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57th Annual ACM Symposium on Theory of Computing (STOC 2025)

June 23 - 27, 2025

Prague , Czech Republic

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Cited By

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Evans WTabatabaee S(2024)Minimizing the Size of the Uncertainty Regions for Centers of Moving EntitiesLATIN 2024: Theoretical Informatics10.1007/978-3-031-55598-5_18(273-287)Online publication date: 6-Mar-2024
https://doi.org/10.1007/978-3-031-55598-5_18
Liu ALiu FWong PZhang X(2023)The Power of Amortization on Scheduling with Explorable UncertaintyApproximation and Online Algorithms 10.1007/978-3-031-49815-2_7(90-103)Online publication date: 7-Sep-2023
https://dl.acm.org/doi/10.1007/978-3-031-49815-2_7
Albers SJanke M(2021)Online Makespan Minimization with Budgeted UncertaintyAlgorithms and Data Structures10.1007/978-3-030-83508-8_4(43-56)Online publication date: 31-Jul-2021
https://doi.org/10.1007/978-3-030-83508-8_4
Kotidis Y(2019)Extending the data warehouse for service provisioning dataData & Knowledge Engineering10.1016/j.datak.2005.11.00359:3(700-724)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1016/j.datak.2005.11.003
Feder TMotwani RO'Callaghan LOlston CPanigrahy R(2018)Computing shortest paths with uncertaintyJournal of Algorithms10.1016/j.jalgor.2004.07.00562:1(1-18)Online publication date: 28-Dec-2018
https://dl.acm.org/doi/10.1016/j.jalgor.2004.07.005
Li ZGe T(2016)Stochastic data acquisition for answering queries as time goes byProceedings of the VLDB Endowment10.14778/3021924.302194210:3(277-288)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.14778/3021924.3021942
Tseng KKirkpatrick D(2011)Input-thrifty extrema testingProceedings of the 22nd international conference on Algorithms and Computation10.1007/978-3-642-25591-5_57(554-563)Online publication date: 5-Dec-2011
https://dl.acm.org/doi/10.1007/978-3-642-25591-5_57
Zhang YLin XZhu GZhang WLin Q(2010)Efficient rank based KNN query processing over uncertain data2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)10.1109/ICDE.2010.5447874(28-39)Online publication date: Mar-2010
https://doi.org/10.1109/ICDE.2010.5447874
Liu ZSia KCho JHaddad HOmicini AWainwright R(2005)Cost-efficient processing of MIN/MAX queries over distributed sensors with uncertaintyProceedings of the 2005 ACM symposium on Applied computing10.1145/1066677.1066823(634-641)Online publication date: 13-Mar-2005
https://dl.acm.org/doi/10.1145/1066677.1066823
Qi Han Ba Nguyen MIrani SVenkatasubramanian N(2004)Time-sensitive computation of aggregate functions over distributed imprecise data18th International Parallel and Distributed Processing Symposium, 2004. Proceedings.10.1109/IPDPS.2004.1303075(118-125)Online publication date: 2004
https://doi.org/10.1109/IPDPS.2004.1303075
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Numerical approach for quantification of epistemic uncertainty

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