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Title:

Scalable Parallel Coordinates Synthetic Test Data

Document type:
Forschungsdaten
Publication date:
08.11.2022
Responsible:
Stumpfegger Josef
Authors:
Stumpfegger Josef, Kevin Höhlein, Kraig George, Westermann Rüdiger
Author affiliation:
TUM
Publisher:
TUM
End date of data production:
15.10.2022
Subject area:
INF Informationswesen, Bibliotheks-, Dokumentations-, Archiv-, Museumswesen
Other subject areas:
Visualization, Big Data
Resource type:
Logfiles und Nutzungsdaten / log files and usage data
Data type:
Datenbanken / data bases
Description:
This dataset can be used check the correctness of the Scalable Parallel Coordinates with respect to runtime and visual quality. For more information on Scalable Parallel Coordinates see published paper.
Method of data assessment:
Synthetical data generation via a python script.
Links:

This dataset relates to the publication: https://doi.org/10.1016/j.cag.2022.10.008
Key words:
Parallel Coordinates, Visualization, Interactive exploration, Big Data
Technical remarks:
View and download (18 GB total, 2 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1690342):
rsync rsync://m1690342@dataserv.ub.tum.de/m1690342/
Language:
en
Other rights:
MIT
 BibTeX