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ZENODO
Dataset . 2016
License: CC 0
Data sources: Datacite
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/
ZENODO
Dataset . 2016
License: CC 0
Data sources: ZENODO
Claim

Dataset For Anomaly Detection Using Inter-Arrival Curves For Real-Time Systems

Research datakeyboard_double_arrow_right Dataset 08 Jul 2016Publisher:Zenodo
Authors: Salem, Mahmoud; Crowley, Mark; Fischmeister, Sebastian;

doi: 10.5281/zenodo.51472

Dataset For Anomaly Detection Using Inter-Arrival Curves For Real-Time Systems

Abstract

The dataset shows the input files and detailed results for the experiments discussed in the paper. A README file provide more details on the data.

Related Organizations
Keywords

Real-time Systems, QNX, Inter-arrival Curves, Anomaly Detection, Arrival Curves

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download
selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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0
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33