Exploring Big Data Landscapes with Elastic Displays
| dc.contributor.author | Kammer, Dietrich | |
| dc.contributor.author | Keck, Mandy | |
| dc.contributor.author | Müller, Mathias | |
| dc.contributor.author | Gründer, Thomas | |
| dc.contributor.author | Groh, Rainer | |
| dc.contributor.editor | Burghardt, Manuel | |
| dc.contributor.editor | Wimmer, Raphael | |
| dc.contributor.editor | Wolff, Christian | |
| dc.contributor.editor | Womser-Hacker, Christa | |
| dc.date.accessioned | 2017-08-09T20:56:42Z | |
| dc.date.available | 2017-08-09T20:56:42Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | In this paper, we propose a concept to help data analysts to quickly assess parameters and results of cluster algorithms. The presentation and interaction on a flexible display makes it possible to grasp the functioning of algorithms and focus on the data itself. Two interaction concepts are presented, which demonstrate the strength of elastic displays: a layer concept that allows the recognition of differences between various parameter settings of cluster algorithms, and a Zoomable User Interface, which encourages the in-depth analysis of clusters. | en |
| dc.identifier.doi | 10.18420/muc2017-ws08-0342 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/3202 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Mensch und Computer 2017 - Workshopband | |
| dc.relation.ispartofseries | Mensch und Computer | |
| dc.subject | Elastic displays | |
| dc.subject | Big Data | |
| dc.subject | interaction | |
| dc.subject | cluster algorithms | |
| dc.title | Exploring Big Data Landscapes with Elastic Displays | en |
| dc.type | Text/Conference Paper | |
| gi.citation.publisherPlace | Regensburg | |
| gi.conference.date | 10.-13. September 2017 | |
| gi.conference.location | Regensburg | |
| gi.conference.sessiontitle | MCI-WS08: 10. Workshop „Be-greifbare Interaktion“ | |
| gi.document.quality | digidoc |
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