Feature space reduction as data preprocessing for the anomaly detection.
Simon BilikKarel HorákPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- data preprocessing
- feature space
- feature selection
- preprocessing
- data mining
- preprocessing step
- intrusion detection
- detecting anomalies
- intrusion detection system
- web usage mining
- dimensionality reduction
- network intrusion detection
- anomalous behavior
- high dimensional
- classification accuracy
- detect anomalies
- feature vectors
- data cleaning
- principal component analysis
- feature extraction
- input data
- unsupervised learning
- one class support vector machines
- high dimensionality
- text classification
- feature set
- support vector machine
- training set
- kernel function
- website
- databases