Database Reference
In-Depth Information
Visual Analytics research does not focus on specific methods to address these
questions in a single “best-practice”. Each specific domain contributes a reper-
toire of approaches to initiate an interdisciplinary creation of solutions.
Visual Analytics literally maps the connection between different alternative
solutions, leaving the opportunity for the human user to view these options in
the context of the complete knowledge generation process and to discuss these
options with peers on common ground.
References
1. Aigner, W., Miksch, S., Muller, W., Schumann, H., Tominski, C.: Visual meth-
ods for analyzing time-oriented data. IEEE Transactions on Visualization and
Computer Graphics 14(1), 47-60 (2008)
2. Amar, R.A., Eagan, J., Stasko, J.T.: Low-level components of analytic activity in
information visualization. In: INFOVIS, p. 15 (2005)
3. Amiel, M., Melancon, G., Rozenblat, C.: Reseaux multi-niveaux: l'exemple des
echanges aeriens mondiaux. M@ppemonde 79(3) (2005)
4. Andrienko, G., Andrienko, N., Jankowski, P., Keim, D., Kraak, M.-J.,
MacEachren, A., Wrobel, S.: Geovisual analytics for spatial decision support:
Setting the research agenda. Special issue of the International Journal of Geo-
graphical Information Science 21(8), 839-857 (2007)
5. Andrienko, G., Andrienko, N., Wrobel, S.: Visual analytics tools for analysis of
movement data. ACM SIGKDD Explorations 9(2) (2007)
6. Andrienko, N., Andrienko, G.: Exploratory Analysis of Spatial and Temporal
Data. Springer, Heidelberg (2005)
7. Auber, D., Chiricota, Y., Jourdan, F., Melancon, G.: Multiscale visualization of
small world networks. In: INFOVIS (2003)
8. Card, S.K., Mackinlay, J., Shneiderman, B.: Readings in Information Visualiza-
tion: Using Vision to Think. Morgan Kaufmann, San Francisco (1999)
9. Ceglar, A., Roddick, J.F., Calder, P.: Guiding knowledge discovery through in-
teractive data mining, pp. 45-87. IGI Publishing, Hershey (2003)
10. Chiricota, Y., Melancon, G.: Visually mining relational data. International Review
on Computers and Software (2005)
11. Das, A.: Semantic approximation of data stream joins. IEEE Transactions on
Knowledge and Data Engineering 17(1), 44-59 (2005), Member-Johannes Gehrke
and Member-Mirek Riedewald
12. Dix, A., Finlay, J.E., Abowd, G.D., Beale, R.: Human-Computer Interaction (.),
3rd edn. Prentice-Hall, Inc., Upper Saddle River (2003)
13. Duda, R., Hart, P., Stock, D.: Pattern Classification. John Wiley and Sons Inc.,
Chichester (2000)
14. Dykes, J., MacEachren, A., Kraak, M.-J.: Exploring geovisualization. Elsevier
Science, Amsterdam (2005)
15. Engel, K., Hadwiger, M., Kniss, J.M., Rezk-salama, C., Weiskopf, D.: Real-time
Volume Graphics. A. K. Peters, Ltd., Natick (2006)
16. Ester, M., Sander, J.: Knowledge Discovery in Databases - Techniken und An-
wendungen. Springer, Heidelberg (2000)
17. Forsell, C., Seipel, S., Lind, M.: Simple 3d glyphs for spatial multivariate data.
In: INFOVIS, p. 16 (2005)
Search WWH ::
Custom Search