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dc.contributor.authorBremm, Sebastianen_US
dc.contributor.authorHeß, Martinen_US
dc.contributor.authorLandesberger, Tatiana vonen_US
dc.contributor.authorFellner, Dieter W.en_US
dc.contributor.editorKresimir Matkovic and Giuseppe Santuccien_US
dc.date.accessioned2013-11-08T10:21:26Z
dc.date.available2013-11-08T10:21:26Z
dc.date.issued2012en_US
dc.identifier.isbn978-3-905673-89-0en_US
dc.identifier.urihttp://dx.doi.org/10.2312/PE/EuroVAST/EuroVA12/007-011en_US
dc.description.abstractIn 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.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): Computer Graphics [I.3.3]: Viewing Algorithms- Computer Graphics [I.3.6]: Methodology and Techniques-Graphics data structures and data typesen_US
dc.titlePCDC - On the Highway to Data - A Tool for the Fast Generation of Large Synthetic Data Setsen_US
dc.description.seriesinformationEuroVA 2012: International Workshop on Visual Analyticsen_US


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