Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs.
Bo ZhangHongyu ZhangVan-Hoang LePablo MoscatoAozhong ZhangPublished in: Autom. Softw. Eng. (2023)
Keyphrases
- unsupervised anomaly detection
- semi supervised
- anomaly detection
- pattern mining
- intrusion detection
- semi supervised learning
- web logs
- labeled data
- mining algorithm
- pairwise
- supervised learning
- unlabeled data
- active learning
- text mining
- co training
- sequential patterns
- data mining
- context aware preferences
- web mining
- frequent patterns
- itemsets
- unsupervised learning
- reinforcement learning
- log analysis
- metric learning
- log data
- data flow
- data mining techniques
- semi supervised clustering
- semi supervised classification
- real world
- web server logs
- knowledge discovery
- multi view
- spatial relations
- semantic relations
- association rule mining