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» Discovering associations with numeric variables
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SAC
2002
ACM
13 years 10 months ago
An evolutionary algorithm to discover numeric association rules
Jacinto Mata Vázquez, José Luis &Aac...
IJCNN
2006
IEEE
14 years 4 months ago
P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data
— The joint analysis of genetic and brain imaging data is the key to understand the genetic underpinnings of brain dysfunctions in several psychiatric diseases known to have a st...
Johannes Mohr, Imke Puis, Jana Wrase, Sepp Hochrei...
KDD
2009
ACM
229views Data Mining» more  KDD 2009»
14 years 11 months ago
An association analysis approach to biclustering
The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an important type of analysis perform...
Gaurav Pandey, Gowtham Atluri, Michael Steinbach, ...
FSS
2008
87views more  FSS 2008»
13 years 11 months ago
Representing parametric probabilistic models tainted with imprecision
Numerical possibility theory, belief function have been suggested as useful tools to represent imprecise, vague or incomplete information. They are particularly appropriate in unc...
Cédric Baudrit, Didier Dubois, Nathalie Per...