Network IDS alert classification with frequent itemset mining and data clustering.
Risto VaarandiKarlis PodinsPublished in: CNSM (2010)
Keyphrases
- data clustering
- frequent itemset mining
- unsupervised learning
- clustering algorithm
- itemsets
- pattern recognition
- k means
- frequent itemsets
- cluster analysis
- machine learning
- supervised learning
- pattern mining
- decision trees
- feature extraction
- association rules
- graph mining
- intrusion detection
- data mining
- sequential pattern mining
- intrusion detection system
- association rule mining
- anomaly detection
- databases
- preprocessing
- object recognition