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
Country/TerritoryBelgium
CityHasselt
Period05/11/201506/11/2015
Internet address

Keywords

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

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