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PCDC - On the Highway to Data. A Tool for the Fast Generation of Large Synthetic Data Sets

Bremm, Sebastian ; Heß, Martin ; Landesberger von Antburg, Tatiana ; Fellner, Dieter W. (2012)
PCDC - On the Highway to Data. A Tool for the Fast Generation of Large Synthetic Data Sets.
EuroVA 2012.
doi: 10.2312/PE/EuroVAST/EuroVA12/007-011
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

In this paper, we present Parallel Coordinates for Data Creation (PCDC), a new visual-interactive method for the fast generation of labeled multidimensional data sets. Multivariate data need to be analyzed in various domains such as finance, biology or medicine using complex data mining techniques. For the evaluation or presentation of the techniques, e.g., for assessing their sensitivity to specific data properties, test data need to be generated. PCDC allows for a fast and intuitive creation of multivariate data with several classes. It is based on interactive definition of data regions and data distributions in a parallel coordinates view. It offers a quick definition of data regions over several dimensions in one interface. Moreover, the users can directly see the outcome of their settings in the same view without the need for switching between data generation and output visualization. Our tool enables also an easy adjustment of the data generation parameters for creating additional similar datasets.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2012
Autor(en): Bremm, Sebastian ; Heß, Martin ; Landesberger von Antburg, Tatiana ; Fellner, Dieter W.
Art des Eintrags: Bibliographie
Titel: PCDC - On the Highway to Data. A Tool for the Fast Generation of Large Synthetic Data Sets
Sprache: Englisch
Publikationsjahr: 2012
Verlag: Eurographics Association, Goslar
Veranstaltungstitel: EuroVA 2012
DOI: 10.2312/PE/EuroVAST/EuroVA12/007-011
Kurzbeschreibung (Abstract):

In this paper, we present Parallel Coordinates for Data Creation (PCDC), a new visual-interactive method for the fast generation of labeled multidimensional data sets. Multivariate data need to be analyzed in various domains such as finance, biology or medicine using complex data mining techniques. For the evaluation or presentation of the techniques, e.g., for assessing their sensitivity to specific data properties, test data need to be generated. PCDC allows for a fast and intuitive creation of multivariate data with several classes. It is based on interactive definition of data regions and data distributions in a parallel coordinates view. It offers a quick definition of data regions over several dimensions in one interface. Moreover, the users can directly see the outcome of their settings in the same view without the need for switching between data generation and output visualization. Our tool enables also an easy adjustment of the data generation parameters for creating additional similar datasets.

Freie Schlagworte: Forschungsgruppe Semantic Models, Immersive Systems (SMIS), Forschungsgruppe Visual Search and Analysis (VISA), Business Field: Visual decision support, Research Area: Confluence of graphics and vision, Research Area: Generalized digital documents, Multidimensional data visualization, Test data generation, Multivariate data, Multimedia data, Visual analytics
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 12 Nov 2018 11:16
Letzte Änderung: 04 Feb 2022 12:40
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