A random-forests-based classifier using class association rules and its application to an intrusion detection system.
Shingo MabuShun GotohMasanao ObayashiTakashi KuremotoPublished in: Artif. Life Robotics (2016)
Keyphrases
- random forests
- intrusion detection system
- intrusion detection
- decision trees
- association rules
- accurate classifiers
- random forest
- logistic regression
- network security
- class labels
- machine learning algorithms
- data mining
- data mining techniques
- ensemble methods
- anomaly detection
- network traffic
- randomized trees
- distributed intrusion detection
- knowledge discovery
- training set
- training data
- decision tree ensembles
- ensemble learning
- feature selection
- learning algorithm
- misuse detection
- naive bayes
- multi class
- information retrieval