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» Advances in decision tree construction
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TJS
2010
182views more  TJS 2010»
14 years 7 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
BMCBI
2005
100views more  BMCBI 2005»
14 years 9 months ago
EvDTree: structure-dependent substitution profiles based on decision tree classification of 3D environments
Background: Structure-dependent substitution matrices increase the accuracy of sequence alignments when the 3D structure of one sequence is known, and are successful e.g. in fold ...
Jean-Christophe Gelly, Laurent Chiche, Jér&...
GECCO
2005
Springer
195views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolving fuzzy decision tree structure that adapts in real-time
A fuzzy logic algorithm has been developed that automatically allocates electronic attack (EA) resources distributed over different platforms in real-time. The controller must be ...
James F. Smith III
IJAR
2010
189views more  IJAR 2010»
14 years 8 months ago
A fuzzy random forest
Following Breiman’s methodology, we propose a multi-classifier based on a “forest” of randomly generated fuzzy decision trees, i.e., a Fuzzy Random Forest. This approach co...
Piero P. Bonissone, José Manuel Cadenas, M....
DIS
2001
Springer
15 years 2 months ago
Functional Trees
In the context of classification problems, algorithms that generate multivariate trees are able to explore multiple representation languages by using decision tests based on a com...
Joao Gama