Anomaly detection in data mining. Hybrid approach between filtering-and-refinement and DBSCAN.
Stefan-Iulian HandraHoria CiocarliePublished in: SACI (2011)
Keyphrases
- anomaly detection
- data mining
- intrusion detection
- network intrusion detection
- anomalous behavior
- spatial clustering
- computer security
- clustering analysis
- intrusion detection system
- detecting anomalies
- unsupervised learning
- detect anomalies
- network anomaly detection
- data analysis
- clustering algorithm
- network traffic
- cluster analysis
- unsupervised anomaly detection
- network security
- data mining methods
- data mining applications
- detecting anomalous
- k means
- behavior analysis
- malware detection
- real world
- machine learning
- association rules
- data mining techniques
- clustering method
- previously unknown
- misuse detection
- data warehousing
- text mining
- knowledge discovery
- pattern mining
- data points
- network intrusion
- one class support vector machines
- negative selection algorithm
- data mining algorithms
- connectionist systems