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» Generating Better Decision Trees
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FLAIRS
2008
13 years 11 months ago
A Backward Adjusting Strategy and Optimization of the C4.5 Parameters to Improve C4.5's Performance
In machine learning, decision trees are employed extensively in solving classification problems. In order to design a decision tree classifier two main phases are employed. The fi...
Jason R. Beck, Maria Garcia, Mingyu Zhong, Michael...
KBS
2002
141views more  KBS 2002»
13 years 8 months ago
Using J-pruning to reduce overfitting in classification trees
The automatic induction of classification rules from examples in the form of a decision tree is an important technique used in data mining. One of the problems encountered is the o...
Max Bramer
DIS
2001
Springer
14 years 1 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
IJAR
2010
189views more  IJAR 2010»
13 years 7 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....
TITB
2008
178views more  TITB 2008»
13 years 8 months ago
Automated Diagnosis of Coronary Artery Disease Based on Data Mining and Fuzzy Modeling
A fuzzy rule-based decision support system (DSS) is presented for the diagnosis of coronary artery disease (CAD). The system is automatically generated from an initial annotated da...
Markos G. Tsipouras, Themis P. Exarchos, Dimitrios...