Small and Unbalanced Data Set Problem in Classification.
Öznur Esra ParEbru Akçapinar SezerHayri SeverPublished in: SIU (2019)
Keyphrases
- data sets
- classification algorithm
- automatic classification
- classification accuracy
- training set
- classification scheme
- support vector
- decision trees
- data sets from uci
- classification method
- pattern recognition
- classification models
- pattern classification
- feature vectors
- unbalanced data
- feature selection
- data mining
- machine learning
- benchmark data sets
- document classification
- classification rules
- real world
- decision rules
- benchmark datasets
- support vector machine svm
- training data
- text classification
- classification systems
- high dimensional
- small sample
- supervised classification
- training samples
- imbalanced data sets
- classification process
- microarray data
- class labels
- input data
- supervised learning
- support vector machine
- feature space
- data streams
- similarity measure
- feature extraction
- neural network