Rule-Based Knowledge Discovery via Anomaly Detection in Tabular Data.
Asara SenaratnePeter ChristenGraham J. WilliamsPouya Ghiasnezhad OmranPublished in: AAAI Spring Symposium: MAKE (2023)
Keyphrases
- anomaly detection
- tabular data
- knowledge discovery
- controlled tabular adjustment
- cell suppression
- intrusion detection
- data mining
- anomalous behavior
- databases
- detecting anomalies
- network traffic
- association rules
- network intrusion detection
- unsupervised learning
- machine learning
- differential privacy
- data mining algorithms
- data mining techniques
- text mining
- data analysis
- outlier detection
- intrusion detection system
- data mining applications
- one class support vector machines
- data sets
- semi supervised
- negative selection algorithm
- social networks
- information systems
- hidden markov models