37 search results - page 5 / 8 » Discovery of High-Dimensional |
DMIN
2008
13 years 8 months ago
2008
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...
KDD
1999
ACM
13 years 11 months ago
1999
ACM
We introduce a new kind of patterns, called emerging patterns (EPs), for knowledge discovery from databases. EPs are defined as itemsets whose supports increase significantly from...
DATAMINE
2007
13 years 7 months ago
2007
The high dimensionality of massive data results in the discovery of a large number of association rules. The huge number of rules makes it difficult to interpret and react to all ...
MICCAI
2005
Springer
14 years 8 months ago
2005
Springer
In this paper, we propose a new approach to detect activated time series in functional MRI using support vector clustering (SVC). We extract Fourier coefficients as the features of...
CEC
2007
IEEE
13 years 11 months ago
2007
IEEE
In this work we compare the use of a Particle Swarm Optimization (PSO) and a Genetic Algorithm (GA) (both augmented with Support Vector Machines SVM) for the classification of high...