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

Dietrich Kammer, Mandy Keck, Thomas Gründer

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)


High-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.
Original languageEnglish
Number of pages5
Publication statusPublished - 2018
Externally publishedYes
EventMensch und Computer 2018 - Dresden, Germany
Duration: 2 Sept 20185 Sept 2018


ConferenceMensch und Computer 2018
Internet address


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