Unsupervised Learning: A Fusion of Rough Sets and Fuzzy Ants Clustering for Anomaly Detection System.
Surat SrinoyWerasak KurutachPublished in: SMC (2006)
Keyphrases
- anomaly detection
- unsupervised learning
- rough sets
- fuzzy sets
- rough set theory
- soft computing
- fuzzy logic
- intrusion detection
- fuzzy rough sets
- membership functions
- anomalous behavior
- decision rules
- rough fuzzy
- supervised learning
- dominance relation
- granular computing
- intrusion detection system
- network intrusion detection
- semi supervised
- self organizing maps
- detecting anomalies
- cluster analysis
- attribute reduction
- model selection
- concept lattice
- approximation spaces
- fuzzy measures
- machine learning
- data mining
- expectation maximization
- pattern recognition
- fuzzy clustering
- dimensionality reduction
- equivalence relation
- rough sets theory
- rough approximations
- neural network
- detect anomalies
- object recognition
- fuzzy rules
- upper approximation
- text classification
- set valued
- clustering algorithm
- information granulation
- one class support vector machines
- high dimensional
- computational intelligence
- image processing
- maximum likelihood