Breast cancer diagnosis using GA feature selection and Rotation Forest.
Emina AlickovicAbdulhamit SubasiPublished in: Neural Comput. Appl. (2017)
Keyphrases
- breast cancer diagnosis
- feature selection
- rotation forest
- ensemble methods
- genetic algorithm ga
- random forest
- ensemble classifier
- feature subset
- breast cancer
- genetic algorithm
- feature set
- cancer diagnosis
- cancer classification
- ensemble learning
- support vector
- text categorization
- machine learning
- fitness function
- feature extraction
- multi class
- text classification
- subspace methods
- simulated annealing
- feature ranking
- classification models
- preprocessing step
- base classifiers
- support vector machine
- high dimensionality
- optimization method
- microarray data
- classification accuracy
- feature space
- prediction accuracy
- decision trees
- neural network
- genetic programming
- feature vectors
- pairwise
- text mining
- microarray datasets
- data analysis
- support vector machine svm