Anomaly detection in time series data using a fuzzy c-means clustering.
Hesam IzakianWitold PedryczPublished in: IFSA/NAFIPS (2013)
Keyphrases
- anomaly detection
- fuzzy c means clustering
- fuzzy c means
- intrusion detection
- detect anomalies
- detecting anomalies
- clustering method
- network intrusion detection
- network traffic
- intrusion detection system
- anomalous behavior
- one class support vector machines
- image segmentation
- network anomaly detection
- neural network
- object recognition
- cumulative sum
- data mining applications
- fuzzy clustering
- unsupervised learning
- similarity measure
- image processing
- computer vision
- machine learning