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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 language | English |
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Title of host publication | The 27th Benelux Conference on Artificial Intelligence (BNAIC 2015) |
Publication date | Oct 2015 |
Publication status | Published - Oct 2015 |
Event | Benelux Conference on Artificial Intelligence - Hasselt University, Hasselt, Belgium Duration: 5 Nov 2015 → 6 Nov 2015 Conference number: 27th http://bnaic2015.org/ |
Conference
Conference | Benelux Conference on Artificial Intelligence |
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Number | 27th |
Location | Hasselt University |
Country/Territory | Belgium |
City | Hasselt |
Period | 05/11/2015 → 06/11/2015 |
Internet address |
Keywords
- Bayesian networks
- data streams
- machine learning
- open source
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Dive into the research topics of 'AMIDST: Analysis of MassIve Data STreams'. Together they form a unique fingerprint.Projects
- 1 Finished
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AMIDST: Analysis of MassIve Data STreams - AMIDST
Madsen, A. L., Rommerdahl Bock, A., Nielsen, T. D. & Martinez, A. M.
01/01/2014 → 31/12/2016
Project: Research