81 search results - page 5 / 17 » A Feature Selection Algorithm Capable of Handling Extremely ... |
ICDCS
2006
IEEE
13 years 11 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...
BMCBI
2010
13 years 5 months ago
2010
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
Clustering problems often involve datasets where only a part of the data is relevant to the problem, e.g., in microarray data analysis only a subset of the genes show cohesive exp...
UAI
2008
13 years 6 months ago
2008
Identifying co-varying causal elements in very high dimensional feature space with internal structures, e.g., a space with as many as millions of linearly ordered features, as one...
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...