Data consistency

Results: 317



#Item
31SHIP Privacy Impact Assessment A document of core programme 1 Background Scotland has very comprehensive health service data of high quality and consistency. However it is still rather disparate. A great deal of meaningf

SHIP Privacy Impact Assessment A document of core programme 1 Background Scotland has very comprehensive health service data of high quality and consistency. However it is still rather disparate. A great deal of meaningf

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Source URL: www.scot-ship.ac.uk

Language: English - Date: 2014-04-01 08:15:46
32Managed Communication and Consistency for Fast Data-Parallel Iterative Analytics Jinliang Wei Wei Dai Aurick Qiao Qirong Ho? Henggang Cui Gregory R. Ganger Phillip B. Gibbons† Garth A. Gibson Eric P. Xing Carnegie Mell

Managed Communication and Consistency for Fast Data-Parallel Iterative Analytics Jinliang Wei Wei Dai Aurick Qiao Qirong Ho? Henggang Cui Gregory R. Ganger Phillip B. Gibbons† Garth A. Gibson Eric P. Xing Carnegie Mell

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Source URL: www.pdl.cmu.edu

Language: English - Date: 2016-03-07 13:00:52
33Towards Elastic Transactional Cloud Storage with Range Query Support Hoang Tam Vo #1 , Chun Chen §2 , Beng Chin Ooi #3 #

Towards Elastic Transactional Cloud Storage with Range Query Support Hoang Tam Vo #1 , Chun Chen §2 , Beng Chin Ooi #3 #

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Source URL: www.comp.nus.edu.sg

Language: English - Date: 2010-07-12 23:21:47
341  The Distributed Constraint Satisfaction Problem: Formalization and Algorithms IEEE Trans. on Knowledge and DATA Engineering, vol.10, No.5 September 1998 Makoto Yokoo, Edmund H. Durfee, Toru Ishida, and Kazuhiro Kuwaba

1 The Distributed Constraint Satisfaction Problem: Formalization and Algorithms IEEE Trans. on Knowledge and DATA Engineering, vol.10, No.5 September 1998 Makoto Yokoo, Edmund H. Durfee, Toru Ishida, and Kazuhiro Kuwaba

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Source URL: agent.inf.kyushu-u.ac.jp

Language: English - Date: 2016-07-21 01:26:16
35Inference and enforcement of data structure consistency specifications Brian Demsky1 , Michael D. Ernst2 , Philip J. Guo2 , Stephen McCamant2 , Jeff H. Perkins2 , Martin Rinard2 University of California at Irvine, Irvine

Inference and enforcement of data structure consistency specifications Brian Demsky1 , Michael D. Ernst2 , Philip J. Guo2 , Stephen McCamant2 , Jeff H. Perkins2 , Martin Rinard2 University of California at Irvine, Irvine

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Source URL: pgbovine.net

Language: English - Date: 2014-01-03 23:24:44
36ENHANCING ACCURACY OF SYMMETRIC RANDOM WALKER IMAGE REGISTRATION VIA A NOVEL DATA-CONSISTENCY MEASURE Lisa Y. W. Tang1,2 and Roger Tam2 and Ghassan Hamarneh1 1  Medical Image Analysis Lab., School of Computing Science, S

ENHANCING ACCURACY OF SYMMETRIC RANDOM WALKER IMAGE REGISTRATION VIA A NOVEL DATA-CONSISTENCY MEASURE Lisa Y. W. Tang1,2 and Roger Tam2 and Ghassan Hamarneh1 1 Medical Image Analysis Lab., School of Computing Science, S

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Source URL: www.cs.sfu.ca

Language: English - Date: 2016-02-06 13:56:22
37IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 11, NO. 6, NOVEMBERIDECEMBERData Consistency in Intermittently Connected Distributed Systems

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 11, NO. 6, NOVEMBERIDECEMBERData Consistency in Intermittently Connected Distributed Systems

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Source URL: www.cs.uoi.gr

Language: English - Date: 2005-07-21 04:16:18
38Limitations of Highly-Available Eventually-Consistent Data Stores Hagit Attiya Faith Ellen

Limitations of Highly-Available Eventually-Consistent Data Stores Hagit Attiya Faith Ellen

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Source URL: www.cs.technion.ac.il

Language: English - Date: 2015-07-06 07:00:09
39Biometrika (2005), 92, 4, pp. 765–778 © 2005 Biometrika Trust Printed in Great Britain Data tracking and the understanding of Bayesian consistency B STEPHEN G. WALKER

Biometrika (2005), 92, 4, pp. 765–778 © 2005 Biometrika Trust Printed in Great Britain Data tracking and the understanding of Bayesian consistency B STEPHEN G. WALKER

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Source URL: economia.unipv.it

Language: English - Date: 2011-10-12 03:44:57
    40Vergleich von Nano- vs Millisekunde 1 Nanosekunde (ns) = 1000 Pikosekunden = 0,Sekunden 1 Mikrosekunde (μs) = 1000 Nanosekunden = 0,Sekunden 1 Millisekunde (ms) = 1000 Mikrosekunden = 0,001 Sekunden

    Vergleich von Nano- vs Millisekunde 1 Nanosekunde (ns) = 1000 Pikosekunden = 0,Sekunden 1 Mikrosekunde (μs) = 1000 Nanosekunden = 0,Sekunden 1 Millisekunde (ms) = 1000 Mikrosekunden = 0,001 Sekunden

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    Source URL: www.dbis.cs.uni-frankfurt.de

    Language: English - Date: 2016-01-28 04:35:36