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ESANN
2006
13 years 10 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
GRC
2010
IEEE
13 years 10 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi
DAGSTUHL
2007
13 years 10 months ago
Programming self developing blob machines for spatial computing.
: This is a position paper introducing blob computing: A Blob is a generic primitive used to structure a uniform computing substrate into an easier-to-program parallel virtual mach...
Frédéric Gruau, Christine Eisenbeis
DMIN
2008
190views Data Mining» more  DMIN 2008»
13 years 10 months ago
Optimization of Self-Organizing Maps Ensemble in Prediction
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
Elie Prudhomme, Stéphane Lallich
CAISE
2008
Springer
13 years 11 months ago
Assigning Ontology-Based Semantics to Process Models: The Case of Petri Nets
Syntactically correct process models are not necessarily meaningful or represent processes that are feasible to execute. Specifically, when executed, the modeled processes might no...
Pnina Soffer, Maya Kaner, Yair Wand