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» Visual Data Mining in Large Geospatial Point Sets
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TVCG
2011
132views more  TVCG 2011»
13 years 2 months ago
Point-Based Visualization for Large Hierarchies
—Space-filling layout techniques for tree representations are frequently used when the available screen space is small or the data set is large. In this paper, we propose an ef...
Hans-Jörg Schulz, Steffen Hadlak, Heidrun Sch...
TVCG
2002
123views more  TVCG 2002»
13 years 7 months ago
Information Visualization and Visual Data Mining
Never before in history data has been generated at such high volumes as it is today. Exploring and analyzing the vast volumes of data becomes increasingly difficult. Information vi...
Daniel A. Keim
KDD
2002
ACM
155views Data Mining» more  KDD 2002»
14 years 7 months ago
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets
We propose a new clustering algorithm, called SyMP, which is based on synchronization of pulse-coupled oscillators. SyMP represents each data point by an Integrate-and-Fire oscill...
Hichem Frigui
ICDM
2003
IEEE
101views Data Mining» more  ICDM 2003»
14 years 20 days ago
Interactive Visualization and Navigation in Large Data Collections using the Hyperbolic Space
We propose the combination of two recently introduced methods for the interactive visual data mining of large collections of data. Both, Hyperbolic Multi-Dimensional Scaling (HMDS...
Jörg A. Walter, Jörg Ontrup, Daniel Wess...
ESANN
2006
13 years 8 months ago
Data topology visualization for the Self-Organizing Map
The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
Kadim Tasdemir, Erzsébet Merényi