Visual analytics: Definition, process, and challenges

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4950 LNCS, Issue , 2008, Pages 154-175

  Keim, Daniel ^a   Andrienko, Gennady ^b   Fekete, Jean Daniel ^c   Görg, Carsten ^d   Kohlhammer, Jörn ^e   Melançon, Guy ^f  

^a UNIVERSITY OF KONSTANZ   (Germany)

^b FRAUNHOFER IAIS   (Germany)

^c UNIVERSITÉ PARIS SACLAY   (France)

^d Georgia Institute of Technology   (United States)

^e FRAUNHOFER IGD   (Germany)

^f INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

DATA STORAGE EQUIPMENT; INFORMATION ANALYSIS; INFORMATION SYSTEMS; VISUALIZATION;

DATA STORAGE DEVICES; INFORMATION VISUALIZATION; RAW DATA; VISUAL REPRESENTATIONS;

DECISION MAKING;

EID: 50549094540     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-70956-5_7     Document Type: Conference Paper

References (44)

1. Aigner, W., Miksch, S., Müller, W., Schumann, H., Tominski, C.: Visual methods 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., Melançon, G., R.ozenblat, C.: Réseaux multi-niveaux: l'exemple des échanges aériens 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 Geographical 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., Melançon, G.: Multiscale visualization of small world networks. In: INFOVIS (2003)
8. Card, S.K., Mackinlay, J., Shneiderman, B.: Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann, San Francisco (1999)
9. Ceglar, A., Roddick, J.F., Calder, P.: Guiding knowledge discovery through interactive data mining, pp. 45-87. IGI Publishing, Hershey (2003)
10. Chiricota, Y., Melançon, 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 Anwendungen. Springer, Heidelberg (2000)
17. Forsell, C., Seipel, S., Lind, M.: Simple 3d glyphs for spatial multivariate data. In: INFOVIS, p. 16 (2005)
18. Han, J., Kamber, M. (eds.): Data Mining: Concepts and Techniques. Morgan Kaufmann, San Francisco (2000)
19. Hand, D., Mannila, H., Smyth, P. (eds.): Principles of Data Mining. MIT Press, Cambridge (2001)
20. Inselberg, A., Dimsdale, B.: Parallel Coordinates: A Tool for Visualizing Multivariate Relations (chapter 9), pp. 199-233. Plenum Publishing Corporation, New York (1991)
21. Jacko, J.A., Sears, A.: The Handbook for Human Computer Interaction. Lawrence Erlbaum & Associates, Mahwah (2003)
22. Johnson, C., Hanson, C. (eds.): Visualization Handbook. Kolam Publishing (2004)
23. Keim, D., Ertl, T.: Scientific visualization (in german). Information Technology 46(3), 148-153 (2004)
24. Keim, D., Ward, M.: Visual Data Mining Techniques (chapter 11). Springer, New York (2003)
25. Keim, D.A., Ankerst, M., Kriegel, H.-P.: Recursive pattern: A technique for visualizing very large amounts of data. In: VIS '95: Proceedings of the 6th conference on Visualization '95, Washington, DC, USA, p. 279. IEEE Computer Society Press, Los Alamitos (1995)
26. Keim, D.A., Panse, C., Sips, M., North, S.C.: Pixel based visual data mining of geo-spatial data. Computers &Graphics 28(3), 327-344 (2004)
27. Kerren, A., Stasko, J.T., Fekete, J.-D., North, C.J. (eds.): Information Visualization. LNCS, vol. 4950. Springer, Heidelberg (2008)
28. Krúger, J., Schneider, J., Westermann, R.: Clearview: An interactive context preserving hotspot visualization technique. IEEE Transactions on Visualization and Computer Graphics 12(5), 941-948 (2006)
29. Maimon, O., Rokach, L. (eds.): The Data Mining and Knowledge Discovery Handbook. Springer, Heidelberg (2005)
30. Meliou, A., Chu, D., Guestrin, C., Hellerstein, J., Hong, W.: Data gathering tours in sensor networks. In: IPSN (2006)
31. Mitchell, T.M.: Machine Learning. McGraw-Hill, Berkeley (1997)
32. Naumann, F., Bilke, A., Bleiholder, J., Weis, M.: Data fusion in three steps: Resolving schema, tuple, and value inconsistencies. IEEE Data Eng. Bull. 29(2), 21-31 (2006)
33. North, C.: Toward measuring visualization insight. IEEE Comput. Graph. Appl. 26(3), 6-9 (2006)
34. Perner, P. (ed.): Data Mining on Multimedia Data. LNCS, vol. 2558. Springer, Heidelberg (2002)
35. Schumann, H., Müller, W.: Visualisierung - Grundlagen und allgemeine Methoden. Springer, Heidelberg (2000)
36. Shneiderman, B.: Tree visualization with tree-maps: 2-d space-filling approach. ACM Trans. Graph. 11(1), 92-99 (1992)
37. Shneiderman, B., Plaisant, C.: Designing the User Interface. Addison-Wesley, Reading (2004)
38. Spence, R.: Information Visualization. ACM Press, New York (2001)
39. Thomas, J. J., Cook, K.A.: Illuminating the Path. IEEE Computer Society Press, Los Alamitos (2005)
40. Tricoche, X., Scheuermann, G., Hagen, H.: Tensor topology tracking: A visualization method for time-dependent 2d symmetric tensor fields. Comput. Graph. Forum 20(3) (2001)
41. Unwin, A., Theus, M., Hofmann, H.: Graphics of Large Datasets: Visualizing a. Million (Statistics and Computing). Springer, New York (2006)
42. van Wijk, J. J.: The value of visualization. In: IEEE Visualization, p. 11 (2005)
43. Widom, J.: Trio: A system for integrated management of data, accuracy, and lineage. In: CIDR, pp. 262-276 (2005)
44. Yi, J.S., Kang, Y.a., Stasko, J.T., Jacko, J.A.: Toward a deeper understanding of the role of interaction in information visualization. IEEE Trans. Vis. Comput. Graph. 13(6), 1224-1231 (2007)