AcLog: An Approach to Detecting Anomalies from System Logs with Active Learning.
Chiming DuanTong JiaYing LiGang HuangPublished in: ICWS (2023)
Keyphrases
- detecting anomalies
- active learning
- anomaly detection
- data mining applications
- learning strategies
- abnormal events
- machine learning
- log data
- random sampling
- semi supervised
- pool based active learning
- learning algorithm
- batch mode
- selective sampling
- training set
- supervised learning
- active learning strategies
- learning process
- decision trees
- experimental design
- data analysis
- computer vision
- information retrieval
- data sets