Learning optimization for decision tree classification of non-categorical data with information gain impurity criterion.
Konstantin I. SofeikovIvan TyukinAlexander N. GorbanEugenij Moiseevich MirkesDanil V. ProkhorovIlya V. RomanenkoPublished in: IJCNN (2014)
Keyphrases
- decision trees
- information gain
- categorical data
- feature selection
- decision tree learning
- decision tree learners
- machine learning
- learning algorithm
- attribute selection
- supervised learning
- cluster analysis
- support vector machine svm
- learning process
- chi squared
- machine learning algorithms
- naive bayes
- numerical data
- unsupervised learning
- text categorization
- support vector
- reinforcement learning
- feature extraction
- classification accuracy
- training set
- support vector machine
- classification rules
- logistic regression
- neural network
- active learning
- pattern recognition
- image segmentation
- clustering algorithm
- data mining