766 search results - page 96 / 154 » Clustering high dimensional data using subspace and projecte... |
BPM
2009
Springer
14 years 3 months ago
2009
Springer
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
FGR
2006
IEEE
14 years 2 months ago
2006
IEEE
We propose an Isometric Self-Organizing Map (ISOSOM) method for nonlinear dimensionality reduction, which integrates a Self-Organizing Map model and an ISOMAP dimension reduction ...
CLUSTER
2006
IEEE
14 years 2 months ago
2006
IEEE
Heterogeneous networks of computers have rapidly become a very promising commodity computing solution, expected to play a major role in the design of high performance computing sy...
CLUSTER
2005
IEEE
14 years 2 months ago
2005
IEEE
In the area of Grid computing, there is a growing need to process large amounts of data. To support this trend, we need to develop efficient parallel storage systems that can prov...
ICDCS
2006
IEEE
14 years 2 months ago
2006
IEEE
Biclustering refers to simultaneously capturing correlations present among subsets of attributes (columns) and records (rows). It is widely used in data mining applications includ...