Title: Data visualization and evaluation for industry 4.0 using an interactive k-means algorithm
Authors: Meiller, Dieter
Niewiera, Florian
Citation: WSCG 2016: poster papers proceedings: 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 33-36.
Issue Date: 2016
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: wscg.zcu.cz/WSCG2016/!!_CSRN-2603.pdf
ISBN: 978-80-86943-59-6
ISSN: 2464-4617
Keywords: průmysl 4.0;inteligence rojů;vizualizace rojů;interaktivní k-prostředky;optimalizace částicových rojů;velká data;vizualizace informací;vizuální analýza;strojové učení
Keywords in different language: industry 4.0;swarm intelligence;swarm visualization;interactive k-means;particle swarm optimization;big data;information visualization;visual analytics;machine learning
Abstract: The project ISAC@OTH-AW will focus on developing an innovative expert system for data visualization and optimization to produce better manufacturing processes. A mandatory part of the project is the appropriation of industry 4.0 technology benefits, like efficiency, quality and time to market rate, for SMEs (Small and Medium Enterprises).
Rights: © Václav Skala - Union Agency
Appears in Collections:WSCG 2016: Poster Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/29588

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