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dc.contributor.authorShao, Linen_US
dc.contributor.authorBehrisch, Michaelen_US
dc.contributor.authorSchreck, Tobiasen_US
dc.contributor.authorLandesberger, Tatiana vonen_US
dc.contributor.authorScherer, Maximilianen_US
dc.contributor.authorBremm, Sebastianen_US
dc.contributor.authorKeim, Danielen_US
dc.contributor.editorM. Pohl and J. Robertsen_US
dc.date.accessioned2014-12-16T07:19:32Z
dc.date.available2014-12-16T07:19:32Z
dc.date.issued2014en_US
dc.identifier.isbn978-3-905674-68-2en_US
dc.identifier.urihttp://dx.doi.org/10.2312/eurova.20141140en_US
dc.description.abstractRecently, there has been an interest in methods for filtering large scatter plot spaces for interesting patterns. However, user interaction remains crucial in starting an explorative analysis in a large scatter plot space. We introduce an approach for explorative search and navigation in large sets of scatter plot diagrams. By means of a sketch-based query interface, users can start the exploration process by providing a visual example of the pattern they are interested in. A shadow-drawing approach provides suggestions for possibly relevant patterns while query drawing takes place, supporting the visual search process. We apply the approach on a large real-world data set, demonstrating the principal functionality and usefulness of our technique.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectH.3.3 [Information Storage and Retrieval]en_US
dc.subjectInformation Search and Retrievalen_US
dc.subjectSearch processen_US
dc.titleGuided Sketching for Visual Search and Exploration in Large Scatter Plot Spacesen_US
dc.description.seriesinformationEuroVis Workshop on Visual Analyticsen_US


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