AMIDST: Analysis of MassIve Data STreams
Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
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.
Detaljer
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.
| Originalsprog | Engelsk |
|---|---|
| Titel | The 27th Benelux Conference on Artificial Intelligence (BNAIC 2015) |
| Publikationsdato | okt. 2015 |
| Status | Udgivet - okt. 2015 |
| Publikationsart | Forskning |
| Peer review | Ja |
| Begivenhed | Benelux Conference on Artificial Intelligence - Hasselt University, Hasselt, Belgien Varighed: 5 nov. 2015 → 6 nov. 2015 Konferencens nummer: 27th http://bnaic2015.org/ |
Konference
| Konference | Benelux Conference on Artificial Intelligence |
|---|---|
| Nummer | 27th |
| Lokation | Hasselt University |
| Land | Belgien |
| By | Hasselt |
| Periode | 05/11/2015 → 06/11/2015 |
| Internetadresse |
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