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ZENODO
Dataset . 2015
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2015
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://doi.org/10.5281/zenodo...
Dataset . 2015
License: CC BY
Data sources: Sygma
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Imperial College London: Spiral
Dataset . 2015
License: CC BY
Data sources: Bielefeld Academic Search Engine (BASE)
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Maximum Likelihood Estimation Of Closed Queueing Network Demands From Queue Length Data

Research datakeyboard_double_arrow_right Dataset 13 Dec 2015 United Kingdom Publisher:ZenodoFunded by:EC | DICE, EC | MODACLOUDS
Authors: Wang, W; Casale, G; Kattepur, A; Nambiar, M;

doi: 10.5281/zenodo.35321

handle: 10044/1/77180

Maximum Likelihood Estimation Of Closed Queueing Network Demands From Queue Length Data

Abstract

The data part of this release support the results presented in the paper "Maximum Likelihood Estimation of Closed Queueing Network Demands from Queue Length Data", by W. Wang, G. Casale, A. Kattepur and M. Nambiar, accepted for presentation at ICPE 2016. When referring to the dataset or scripts please cite the paper above.

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United Kingdom
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Keywords

330, 000, Maximum Likelihood Estimation of Closed Queueing Network Demands from Queue Length Data

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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