Visualisierung und Analyse multidimensionaler Datensätze View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-09-29

AUTHORS

Dirk J. Lehmann, Georgia Albuquerque, Martin Eisemann, Andrada Tatu, Daniel Keim, Heidrun Schumann, Marcus Magnor, Holger Theisel

ABSTRACT

Für multidimensionale Datensätze existieren eine Reihe von automatischen Analysemethoden und Visualisierungstechniken, um ihnen innewohnende Zusammenhänge und Charakteristika aufzudecken. Die zunehmende Größe und Komplexität solcher Daten macht es notwendig, beide Ansätze miteinander zu kombinieren. In diesem Artikel stellen wir Ihnen daher etablierte Methoden zur visuellen und zur automatischen Datenanalyse vor und zeigen neuere Ansätze auf, diese sinnvoll miteinander zu kombinieren. Dabei werden alle Erläuterungen anhand anschaulicher Beispiele verdeutlicht und so für den Leser nachvollziehbar. More... »

PAGES

589-600

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00287-010-0481-z

DOI

http://dx.doi.org/10.1007/s00287-010-0481-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1030643164


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