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

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-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.
Original languageEnglish
Title of host publicationThe 27th Benelux Conference on Artificial Intelligence (BNAIC 2015)
Publication dateOct 2015
Publication statusPublished - Oct 2015
EventBenelux Conference on Artificial Intelligence - Hasselt University, Hasselt, Belgium
Duration: 5 Nov 20156 Nov 2015
Conference number: 27th
http://bnaic2015.org/

Conference

ConferenceBenelux Conference on Artificial Intelligence
Number27th
LocationHasselt University
CountryBelgium
CityHasselt
Period05/11/201506/11/2015
Internet address

Fingerprint

Bayesian networks
Parallel algorithms

Keywords

  • Bayesian networks
  • data streams
  • machine learning
  • open source

Cite this

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

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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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

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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)

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