Combining Feature Selection with Decision Tree Criteria and Neural Network for Corporate Value Classification.
Ratna HidayatiKatsutoshi KanamoriLing FengHayato OhwadaPublished in: PKAW (2016)
Keyphrases
- decision trees
- feature selection
- neural network
- classification models
- classification accuracy
- information gain
- pattern recognition
- machine learning
- predictive accuracy
- naive bayes
- text classification
- feature space
- machine learning algorithms
- support vector
- feature extraction
- learning vector quantization
- feature set
- bayes classifier
- logistic regression
- training set
- decision tree classifiers
- feature construction
- discriminative features
- high dimensionality
- method for feature selection
- multi layer perceptron
- unsupervised learning
- knn
- feature selection algorithms
- feature selection and classification
- irrelevant features
- classification method
- classification rules
- dimensionality reduction
- image classification
- automatic relevance determination
- decision tree learning algorithm
- training data
- artificial neural networks
- fuzzy decision trees
- support vector machine
- feature reduction
- supervised learning
- model selection
- text categorization
- nearest neighbour
- decision rules
- feature subset
- small sample
- feature ranking
- redundant features
- classification performances
- selected features
- svm classifier
- microarray data