Anomaly Detection on Univariate Sensing Time Series Data for Smart Aquaculture Using K-Means, Isolation Forest, and Local Outlier Factor.
Aleksandar PetkovskiVisar ShehuPublished in: MECO (2023)
Keyphrases
- anomaly detection
- k means
- detect anomalies
- intrusion detection
- clustering algorithm
- detecting anomalies
- anomalous behavior
- network traffic
- cluster analysis
- multivariate time series
- clustering analysis
- clustering method
- intrusion detection system
- detecting anomalous
- behavior analysis
- one class support vector machines
- network intrusion detection
- self organizing maps
- expectation maximization
- unsupervised anomaly detection
- network security
- computer security
- smart environments
- network intrusion
- neural network
- unsupervised learning
- negative selection algorithm
- object recognition
- data mining