Exploiting domain knowledge to address class imbalance and a heterogeneous feature space in multi-class classification.
Vitali HirschPeter ReimannDennis Treder-TschechlovHolger SchwarzBernhard MitschangPublished in: VLDB J. (2023)
Keyphrases
- class imbalance
- multi class classification
- binary classification
- feature space
- high dimensionality
- multi class
- cost sensitive
- class distribution
- multi class problems
- active learning
- feature selection
- cost sensitive learning
- binary classifiers
- concept drift
- high dimensional
- multi task learning
- dimensionality reduction
- training set
- principal component analysis
- support vector machine
- high dimensional data
- classification accuracy
- feature vectors
- test set
- training samples
- data sets
- nearest neighbor
- data points
- learning algorithm
- machine learning