Anomaly detection in web documents using crisp and fuzzy-based cosine clustering methodology.
Menahem FriedmanMark LastYaniv MakoverAbraham KandelPublished in: Inf. Sci. (2007)
Keyphrases
- anomaly detection
- web documents
- fuzzy sets
- clustering analysis
- fuzzy logic
- fuzzy numbers
- intrusion detection
- information extraction
- anomalous behavior
- detecting anomalies
- unsupervised learning
- web pages
- network traffic
- semi structured
- keywords
- intrusion detection system
- network intrusion detection
- network anomaly detection
- fuzzy clustering
- vector space model
- pattern recognition
- machine learning
- one class support vector machines
- self organizing maps
- clustering method
- computational intelligence
- co occurrence
- clustering algorithm
- negative selection algorithm