Roskosch, Philipp ; Twellmeyer, James ; Kuijper, Arjan (2016)
Dynamic Sampling for Visual Exploration of Large Dense-Dense Matrices.
18th International Conference, HCI International 2016. Toronto, Canada (17.07.2016-22.07.2016)
doi: 10.1007/978-3-319-40349-6_29
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
We present a technique which allows visual exploration of large dense-occupied similarity matrices. It allows the comparison of several dimensions of a multivariate data set. For the visualization, the data are reduced by sampling. The access time to individual elements is an ever increasing problem with increasing matrix size. We examine various database management systems and compare the access times for different problem sizes. The visualization responds to user interaction and allows the focus to specific areas within the data. For this, the data is filtered according to user interests and the visualization is refined with subsamples of the filtered data. The context is preserved in this process. The focus allows the discovery of relationships that would otherwise remain hidden.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2016 |
| Autor(en): | Roskosch, Philipp ; Twellmeyer, James ; Kuijper, Arjan |
| Art des Eintrags: | Bibliographie |
| Titel: | Dynamic Sampling for Visual Exploration of Large Dense-Dense Matrices |
| Sprache: | Englisch |
| Publikationsjahr: | Juli 2016 |
| Verlag: | Springer International Publishing |
| Buchtitel: | Human Interface and the Management of Information: Information, Design and Interaction |
| Reihe: | Lecture Notes in Computer Science (LNCS); 9734 |
| Veranstaltungstitel: | 18th International Conference, HCI International 2016 |
| Veranstaltungsort: | Toronto, Canada |
| Veranstaltungsdatum: | 17.07.2016-22.07.2016 |
| DOI: | 10.1007/978-3-319-40349-6_29 |
| Kurzbeschreibung (Abstract): | We present a technique which allows visual exploration of large dense-occupied similarity matrices. It allows the comparison of several dimensions of a multivariate data set. For the visualization, the data are reduced by sampling. The access time to individual elements is an ever increasing problem with increasing matrix size. We examine various database management systems and compare the access times for different problem sizes. The visualization responds to user interaction and allows the focus to specific areas within the data. For this, the data is filtered according to user interests and the visualization is refined with subsamples of the filtered data. The context is preserved in this process. The focus allows the discovery of relationships that would otherwise remain hidden. |
| Freie Schlagworte: | Guiding Theme: Digitized Work, Research Area: Human computer interaction (HCI), Computer security, Network visualization, Sampling, Visual analytics, Matrix representation |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme 20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing |
| Hinterlegungsdatum: | 06 Mai 2019 06:55 |
| Letzte Änderung: | 18 Nov 2019 08:17 |
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