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Exploring Big Data Landscapes with a Glyph-based Zoomable User Interface

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dc.contributor.authorKammer, Dietrich
dc.contributor.authorKeck, Mandy
dc.contributor.authorGründer, Thomas
dc.contributor.editorDachselt, Raimund
dc.contributor.editorWeber, Gerhard
dc.date.accessioned2018-08-18T10:42:56Z
dc.date.available2018-08-18T10:42:56Z
dc.date.issued2018
dc.description.abstractHigh-dimensional data sets are hard to explore using common spreadsheet environments. However, data scientists need to develop appropriate clustering and classification algorithms to make sense of big data repositories. Even sophisticated analysis tools often focus on mathematical tasks and offer only basic data visualization with few interactive features. In order to gain more sophisticated insights and test hypotheses with regards to high-dimensional data sets, we developed an interactive zoomable user interface using glyph-based visualizations. The visualization is based on a two-dimensional plot of the data space using multi-dimensional reduction. The resulting Big Data Landscapes are then explored with various controls, filters, and details on demand.en
dc.identifier.doi10.18420/muc2018-demo-0497
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/16838
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2018 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.subjectBig Data Landscapes
dc.subjectGlyph-based Visualization
dc.subjectVisual Analytics
dc.titleExploring Big Data Landscapes with a Glyph-based Zoomable User Interfaceen
dc.typeText/Workshop Paper
gi.citation.publisherPlaceBonn
gi.conference.date2.-5. September 2018
gi.conference.locationDresden
gi.conference.sessiontitleInteraktive Demos
gi.document.qualitydigidoc

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