Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines.
Marco StolpeKanishka BhaduriKamalika DasKatharina MorikPublished in: ECML/PKDD (3) (2013)
Keyphrases
- anomaly detection
- vertically partitioned data
- vertically partitioned
- privacy preserving
- intrusion detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- network traffic
- intrusion detection system
- network anomaly detection
- one class support vector machines
- detect anomalies
- distributed data
- computer networks
- negative selection algorithm
- data privacy
- peer to peer
- cumulative sum
- communication cost
- privacy preserving data mining
- information systems
- data mining algorithms
- unsupervised learning
- text classification
- training data
- feature extraction
- database systems