An enhanced variable selection and Isolation Forest based methodology for anomaly detection with OES data.
Luca PugginiSeán F. McLoonePublished in: Eng. Appl. Artif. Intell. (2018)
Keyphrases
- anomaly detection
- variable selection
- data sets
- input variables
- detect anomalies
- data points
- knowledge discovery
- cross validation
- intrusion detection
- anomalous behavior
- high dimensional data
- unsupervised learning
- data analysis
- input data
- data mining methods
- data mining applications
- data mining techniques
- fuzzy logic
- network intrusion
- genetic algorithm