AMIDST: Analysis of MassIve Data STreams

@inproceedings{Masegosa2015AMIDSTAO,
  title={AMIDST: Analysis of MassIve Data STreams},
  author={Andr{\'e}s R. Masegosa and Ana M. Mart{\'i}nez and Hanen Borchani and Dar{\'i}o Ramos-L{\'o}pez and Thomas D. Nielsen and Helge Langseth and Antonio Salmer{\'o}n and Anders L. Madsen},
  year={2015}
}
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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