Automatic Anomaly Detection Methodology for Crop Classification Data Using Morphological Features.
Leonid ShumiloPublished in: IDAACS-SWS (2020)
Keyphrases
- anomaly detection
- clustering analysis
- data sets
- data processing
- data analysis
- knowledge discovery
- intrusion detection
- detect anomalies
- data mining applications
- supervised learning
- data mining techniques
- anomalous behavior
- unsupervised learning
- decision trees
- network intrusion detection
- principal component analysis
- intrusion detection system
- data assimilation
- support vector machine
- data points
- object recognition
- pattern recognition
- support vector
- training data
- machine learning