Test Data Sets for Evaluating Data Visualization Techniques

Keim, Daniel A.; Bergeron, Daniel R.; Pickett, Ronald M.

Test Data Sets for Evaluating Data Visualization Techniques

Dateien

keim94test.pdfGröße: 404.52 KBDownloads: 738

Datum

1995

Autor:innen

Keim, Daniel A.

Bergeron, Daniel R.

Pickett, Ronald M.

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Sammelband

Publikationsstatus

Published

Erschienen in

GRINSTEIN, G., ed. and others. Perceptual Issues in Visualization. Berlin: Springer, 1995, pp. 9-21. Available under: doi: 10.1007/978-3-642-79057-7_2

Zusammenfassung

In this paper we take a step toward addressing a pressing general problem in the development of data visualization systems - how to measure their effectiveness. The step we take is to define a model for specifying the generation of test data that can be employed for standardized and quantitative testing of a system's performance. These test data sets, in conjunction with appropriate testing procedures, can provide a basis for certifying the effectiveness of a visualization system and for conducting comparative studies to steer system development.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

Testing Data Visualizations, Generating Test Data, Visualizing Multidimensional and Multivariate Data, Perception of Visualizations

Zitieren

ISO 690

KEIM, Daniel A., Daniel R. BERGERON, Ronald M. PICKETT, 1995. Test Data Sets for Evaluating Data Visualization Techniques. In: GRINSTEIN, G., ed. and others. Perceptual Issues in Visualization. Berlin: Springer, 1995, pp. 9-21. Available under: doi: 10.1007/978-3-642-79057-7_2

BibTex

@incollection{Keim1995Evalu-5823,
  year={1995},
  doi={10.1007/978-3-642-79057-7_2},
  title={Test Data Sets for Evaluating Data Visualization Techniques},
  publisher={Springer},
  address={Berlin},
  booktitle={Perceptual Issues in Visualization},
  pages={9--21},
  editor={Grinstein, G.},
  author={Keim, Daniel A. and Bergeron, Daniel R. and Pickett, Ronald M.}
}

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Universitätsbibliographie

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