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Circle Segments : A Technique for Visually Exploring Large Multidimensional Data Sets

Circle Segments : A Technique for Visually Exploring Large Multidimensional Data Sets

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ANKERST, Mihael, Daniel A. KEIM, Hans-Peter KRIEGEL, 1996. Circle Segments : A Technique for Visually Exploring Large Multidimensional Data Sets. Visualization. San Francisco, CA, Nov 1996. In: Visualization '96, Hot Topic Session, San Francisco, CA, November, 1996. Visualization. San Francisco, CA, Nov 1996

@inproceedings{Ankerst1996Circl-5943, title={Circle Segments : A Technique for Visually Exploring Large Multidimensional Data Sets}, year={1996}, booktitle={Visualization '96, Hot Topic Session, San Francisco, CA, November, 1996}, author={Ankerst, Mihael and Keim, Daniel A. and Kriegel, Hans-Peter} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/5943"> <dc:language>eng</dc:language> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/5943"/> <dcterms:abstract xml:lang="eng">In this paper, we describe a novel technique for visualizing large amounts of high-dimensional data, called circle segments . The technique uses one colored pixel per data value and can therefore be classified as a pixel-per-value technique [Kei 96]. The basic idea of the circle segments visualization technique is to display the data dimensions as segments of a circle. If the data consists of k dimensions, the circle is partitioned into k segments, each representing one data dimension. Inside the segments, the data values belonging to one dimension are arranged from the center of the circle to the outside in a back and forth manner orthogonal to the line that halves the segment. Our first results show that the circle segment technique is very powerful for visualizing large amounts of data, providing more expressive visualizations than other wellknown techniques such as the recursive pattern technique and traditional line graphs .</dcterms:abstract> <dc:format>application/pdf</dc:format> <dc:rights>deposit-license</dc:rights> <dcterms:issued>1996</dcterms:issued> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T16:01:31Z</dc:date> <dc:contributor>Keim, Daniel A.</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T16:01:31Z</dcterms:available> <dc:contributor>Ankerst, Mihael</dc:contributor> <dcterms:title>Circle Segments : A Technique for Visually Exploring Large Multidimensional Data Sets</dcterms:title> <dc:contributor>Kriegel, Hans-Peter</dc:contributor> <dc:creator>Kriegel, Hans-Peter</dc:creator> <dcterms:rights rdf:resource="https://creativecommons.org/licenses/by-nc-nd/2.0/legalcode"/> <dcterms:bibliographicCitation>First publ. in: Visualization '96, Hot Topic Session, San Francisco, CA, November, 1996</dcterms:bibliographicCitation> <dc:creator>Ankerst, Mihael</dc:creator> <dc:creator>Keim, Daniel A.</dc:creator> </rdf:Description> </rdf:RDF>

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