Mining Multivariate Discrete Event Sequences for Knowledge Discovery and Anomaly Detection.
Bin NieJianwu XuJacob AlterHaifeng ChenEvgenia SmirniPublished in: DSN (2020)
Keyphrases
- anomaly detection
- discrete event
- knowledge discovery
- dynamic systems
- simulation model
- sequential patterns
- intrusion detection
- text mining
- data mining techniques
- detect anomalies
- detecting anomalies
- discrete event simulation
- anomalous behavior
- network intrusion detection
- databases
- association rules
- data mining algorithms
- interesting patterns
- network traffic
- data mining
- dynamical systems
- data mining applications
- association rule mining
- intrusion detection system
- one class support vector machines
- network security
- data analysis
- detecting anomalous
- network anomaly detection
- machine learning
- cumulative sum
- supervisory control
- hidden markov models
- particle filter
- complex systems
- dynamic programming
- computational intelligence
- unsupervised learning
- frequent itemsets
- frequent patterns
- mathematical model