Hybridisation of classifiers for anomaly detection in big data.
Rasim M. AlguliyevRamiz M. AliguliyevFargana Jabbar AbdullayevaPublished in: Int. J. Big Data Intell. (2019)
Keyphrases
- big data
- anomaly detection
- one class support vector machines
- intrusion detection
- data analysis
- data management
- cloud computing
- network traffic
- social media
- anomalous behavior
- network intrusion detection
- data processing
- detecting anomalies
- business intelligence
- big data analytics
- intrusion detection system
- data science
- support vector
- decision trees
- detect anomalies
- knowledge discovery
- network anomaly detection
- negative selection algorithm
- unsupervised learning
- information processing
- training set
- training data
- dimensionality reduction
- active learning
- pairwise
- reinforcement learning
- databases