AMIDST: Analysis of MassIve Data STreams

Publikation: Forskning - peer reviewKonferenceartikel i proceeding

Abstrakt

The Analysis of MassIve Data STreams (AMIDST) Java toolbox provides a collection of scalable and parallel algorithms for inference and learning of hybrid Bayesian networks from data streams. The toolbox, available at http://amidst.github.io/toolbox/ under the Apache Software License version 2.0, also efficiently leverages existing functionalities and algorithms by interfacing to software tools such as HUGIN and MOA.
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Detaljer

The Analysis of MassIve Data STreams (AMIDST) Java toolbox provides a collection of scalable and parallel algorithms for inference and learning of hybrid Bayesian networks from data streams. The toolbox, available at http://amidst.github.io/toolbox/ under the Apache Software License version 2.0, also efficiently leverages existing functionalities and algorithms by interfacing to software tools such as HUGIN and MOA.
OriginalsprogEngelsk
TitelThe 27th Benelux Conference on Artificial Intelligence (BNAIC 2015)
Publikationsdatookt. 2015
StatusUdgivet - okt. 2015
Begivenhed - Hasselt, Belgien

Konference

KonferenceBenelux Conference on Artificial Intelligence
Nummer27th
LokationHasselt University
LandBelgien
ByHasselt
Periode05/11/201506/11/2015
Internetadresse

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