Never Ignore the Significance of Different Anomalies: A Cost-Sensitive Algorithm Based on Loss Function for Anomaly Detection.
Hengyang LuFei-yu ChenMing XuChong-Jun WangJun-Yuan XiePublished in: ICTAI (2015)
Keyphrases
- anomaly detection
- loss function
- boosting algorithms
- cost sensitive
- negative selection algorithm
- intrusion detection
- detecting anomalies
- learning algorithm
- one class support vector machines
- k means
- pairwise
- learning to rank
- detect anomalies
- anomalous behavior
- unsupervised learning
- multi class
- data mining
- probabilistic model
- feature extraction