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

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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Resumé

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
BegivenhedBenelux Conference on Artificial Intelligence - Hasselt University, Hasselt, Belgien
Varighed: 5 nov. 20156 nov. 2015
Konferencens nummer: 27th
http://bnaic2015.org/

Konference

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

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Bayesian networks
Parallel algorithms

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    Citer dette

    Masegosa, A., Martinez, A. M., Borchani, H., Ramos-López, D., Nielsen, T. D., Langseth, H., ... Madsen, A. L. (2015). AMIDST: Analysis of MassIve Data STreams. I The 27th Benelux Conference on Artificial Intelligence (BNAIC 2015)
    Masegosa, Andres ; Martinez, Ana Maria ; Borchani, Hanen ; Ramos-López, Darío ; Nielsen, Thomas Dyhre ; Langseth, Helge ; Salmerón, Antonio ; Madsen, Anders Læsø. / AMIDST: Analysis of MassIve Data STreams. The 27th Benelux Conference on Artificial Intelligence (BNAIC 2015). 2015.
    @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 = "10",
    language = "English",
    booktitle = "The 27th Benelux Conference on Artificial Intelligence (BNAIC 2015)",

    }

    Masegosa, A, Martinez, AM, Borchani, H, Ramos-López, D, Nielsen, TD, Langseth, H, Salmerón, A & Madsen, AL 2015, AMIDST: Analysis of MassIve Data STreams. i The 27th Benelux Conference on Artificial Intelligence (BNAIC 2015)., Hasselt, Belgien, 05/11/2015.

    AMIDST: Analysis of MassIve Data STreams. / Masegosa, Andres; Martinez, Ana Maria ; Borchani, Hanen; Ramos-López, Darío ; Nielsen, Thomas Dyhre; Langseth, Helge; Salmerón, Antonio; Madsen, Anders Læsø.

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

    Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

    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

    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)

    ER -

    Masegosa A, Martinez AM, Borchani H, Ramos-López D, Nielsen TD, Langseth H et al. AMIDST: Analysis of MassIve Data STreams. I The 27th Benelux Conference on Artificial Intelligence (BNAIC 2015). 2015