AMIDST: Analysis of MassIve Data STreams

Andres Masegosa; Ana Maria  Martinez; Hanen Borchani; Darío  Ramos-López; Thomas Dyhre Nielsen; Helge Langseth; Antonio Salmerón; Anders Læsø Madsen

AMIDST: Analysis of MassIve Data STreams

Andres Masegosa, Ana Maria Martinez, Hanen Borchani, Darío Ramos-López, Thomas Dyhre Nielsen, Helge Langseth, Antonio Salmerón, Anders Læsø Madsen

Institut for Datalogi

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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Abstract

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.

Originalsprog	Engelsk
Titel	The 27th Benelux Conference on Artificial Intelligence (BNAIC 2015)
Publikationsdato	okt. 2015
Status	Udgivet - okt. 2015
Begivenhed	Benelux Conference on Artificial Intelligence - Hasselt University, Hasselt, Belgien Varighed: 5 nov. 2015 → 6 nov. 2015 Konferencens nummer: 27th http://bnaic2015.org/

Konference

Konference	Benelux Conference on Artificial Intelligence
Nummer	27th
Lokation	Hasselt University
Land/Område	Belgien
By	Hasselt
Periode	05/11/2015 → 06/11/2015
Internetadresse	http://bnaic2015.org/

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AMIDST: Analysis of MassIve Data STreams - AMIDST
Madsen, A. L., Rommerdahl Bock, A., Nielsen, T. D. & Martinez, A. M.
European Union’s Seventh Framework Programme for research, technological development and demonstration
01/01/2014 → 31/12/2016
Projekter: Projekt › Forskning

Citationsformater

@inproceedings{527553e8b3ed4d81a86a2645ff88e547,

title = "AMIDST: Analysis of MassIve Data STreams",

abstract = "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.",

keywords = "Bayesian networks, data streams, machine learning, open source",

author = "Andres Masegosa and Martinez, {Ana Maria} and Hanen Borchani and Dar{\'i}o Ramos-L{\'o}pez and Nielsen, {Thomas Dyhre} and Helge Langseth and Antonio Salmer{\'o}n and Madsen, {Anders L{\ae}s{\o}}",

year = "2015",

month = oct,

language = "English",

booktitle = "The 27th Benelux Conference on Artificial Intelligence (BNAIC 2015)",

note = "Benelux Conference on Artificial Intelligence, BNAIC 2015 ; Conference date: 05-11-2015 Through 06-11-2015",

url = "http://bnaic2015.org/",

}

TY - GEN

T1 - AMIDST: Analysis of MassIve Data STreams

AU - Masegosa, Andres

AU - Martinez, Ana Maria

AU - Borchani, Hanen

AU - Ramos-López, Darío

AU - Nielsen, Thomas Dyhre

AU - Langseth, Helge

AU - Salmerón, Antonio

AU - Madsen, Anders Læsø

N1 - Conference code: 27th

PY - 2015/10

Y1 - 2015/10

N2 - 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.

AB - 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.

KW - Bayesian networks

KW - data streams

KW - machine learning

KW - open source

M3 - Article in proceeding

BT - The 27th Benelux Conference on Artificial Intelligence (BNAIC 2015)

T2 - Benelux Conference on Artificial Intelligence

Y2 - 5 November 2015 through 6 November 2015

ER -

AMIDST: Analysis of MassIve Data STreams

Abstract

Konference

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AMIDST: Analysis of MassIve Data STreams - AMIDST

Citationsformater