$(1 + \varepsilon)$-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets.
Maxim BorisyakArtem RyzhikovAndrey UstyuzhaninDenis DerkachFedor RatnikovOlga MineevaPublished in: CoRR (2019)
Keyphrases
- detection method
- incomplete data sets
- class labels
- detection algorithm
- highly imbalanced
- pattern classification
- decision trees
- support vector
- support vector data description
- incomplete data
- training set
- data sets
- text classification
- missing values
- classification accuracy
- feature vectors
- pattern recognition
- machine learning
- unsupervised learning
- supervised learning
- high dimensionality
- feature extraction
- feature set
- support vector machine
- machine learning methods
- classification models
- feature space