Abstract: In data mining, decision tree learning is an approach that uses a decision tree as a predictive model mapping observations to conclusions.
Abstract—In data mining, decision tree learning is an ap- proach that uses a decision tree as a predictive model mapping observations to conclusions.
This paper implements a Fuzzy Decision Tree (FDT) classifier that is based on soft discretization by identifying the best “cut-point”. The selection of ...
Abstract-In data mining, decision tree learning is an ap proach that uses a decision tree as a predictive model mapping observations to conclusions.
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Fuzzy decision tree using soft discretiza- tion and a genetic algorithm based feature selection method. In World congress on nature and biologically ...
We propose a new genetic fuzzy discretization method with feature selection for the pattern classification problems. Traditional discretization methods ...
Abstract. The automatic generation of fuzzy systems have been widely investigated with several proposed approaches in the literature. · Author information ...
Chen M, Ludwig SA (2013) Fuzzy decision tree using soft discretization and a genetic algorithm based feature selection method. In: 2013 World congress on ...
Ranking with fuzzy decision trees · Fuzzy decision tree using soft discretization and a genetic algorithm based feature selection method · A New Random Forest ...
