A deep learning algorithm for stock selection based on multi-factor anomaly detection.
Jun-Cheng ChenZhen LiXiaoyun CaiZhi CaiWei-Wei WangPublished in: CCIS (2022)
Keyphrases
- anomaly detection
- learning algorithm
- intrusion detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- network traffic
- computer security
- behavior analysis
- network anomaly detection
- intrusion detection system
- detecting anomalous
- one class support vector machines
- unsupervised anomaly detection
- detect anomalies
- machine learning
- unsupervised learning
- selection strategy
- cumulative sum
- learning problems
- network intrusion
- pattern recognition
- training data
- connectionist systems
- network security
- reinforcement learning
- negative selection algorithm
- intrusion prevention
- neural network