Daniel Keim
Daniel Keim
Professor of Computer Science, Data Analysis and Visualization, University of Konstanz
Bestätigte E-Mail-Adresse bei uni-konstanz.de - Startseite
Zitiert von
Zitiert von
Information visualization and visual data mining
DA Keim
IEEE transactions on Visualization and Computer Graphics 8 (1), 1-8, 2002
The X-tree: An index structure for high-dimensional data
S Berchtold, DA Keim, HP Kriegel
Very Large Data-Bases, 28-39, 1996
On the surprising behavior of distance metrics in high dimensional space
CC Aggarwal, A Hinneburg, DA Keim
International conference on database theory, 420-434, 2001
An efficient approach to clustering in large multimedia databases with noise
A Hinneburg, DA Keim
KDD 98, 58-65, 1998
Visual analytics: Definition, process, and challenges
D Keim, G Andrienko, JD Fekete, C Görg, J Kohlhammer, G Melançon
Information visualization, 154-175, 2008
Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases
C Böhm, S Berchtold, DA Keim
ACM Computing Surveys (CSUR) 33 (3), 322-373, 2001
Mastering the information age: solving problems with visual analytics
D Keim, J Kohlhammer, G Ellis, F Mansmann
Goslar: Eurographics Association, 2010
10 challenging problems in data mining research
Q Yang, X Wu
International Journal of Information Technology & Decision Making 5 (04 …, 2006
Interactive data visualization: foundations, techniques, and applications
MO Ward, G Grinstein, D Keim
CRC press, 2010
What is the nearest neighbor in high dimensional spaces?
A Hinneburg, CC Aggarwal, DA Keim
26th Internat. Conference on Very Large Databases, 506-515, 2000
Visual analytics: Scope and challenges
DA Keim, F Mansmann, J Schneidewind, J Thomas, H Ziegler
Visual data mining, 76-90, 2008
Challenges in visual data analysis
DA Keim, F Mansmann, J Schneidewind, H Ziegler
Tenth International Conference on Information Visualisation (IV'06), 9-16, 2006
Designing pixel-oriented visualization techniques: Theory and applications
DA Keim
IEEE Transactions on visualization and computer graphics 6 (1), 59-78, 2000
Visualization techniques for mining large databases: A comparison
DA Keim, HP Kriegel
IEEE Transactions on knowledge and data engineering 8 (6), 923-938, 1996
A cost model for nearest neighbor search in high-dimensional data space
S Berchtold, C Böhm, DA Keim, HP Kriegel
Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on …, 1997
Geovisual analytics for spatial decision support: Setting the research agenda
G Andrienko, N Andrienko, P Jankowski, D Keim, MJ Kraak, ...
International journal of geographical information science 21 (8), 839-857, 2007
Optimal grid-clustering: Towards breaking the curse of dimensionality in high-dimensional clustering
A Hinneburg, DA Keim
Feature-based similarity search in 3D object databases
B Bustos, DA Keim, D Saupe, T Schreck, DV Vranić
ACM Computing Surveys (CSUR) 37 (4), 345-387, 2005
VisDB: Database exploration using multidimensional visualization
DA Keim, HP Kriegel
IEEE Computer Graphics and Applications 14 (5), 40-49, 1994
Visual exploration of large data sets
DA Keim
Communications of the ACM 44 (8), 38-44, 2001
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